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Director, Strategic Accounts - Logistics & Tech, m...
SLSQ327R124 While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered. Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day here at Databricks. As a result of our phenomenal growth, we are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion. This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany. The impact you will have - You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire. - Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes. - You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed. - You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence. - You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection. - You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value. - You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve. What we look for - A proven, experience Sales leader with successful history of leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany. - A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets. - Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space. - A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success. - Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth. - A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value. - Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset. - A disciplined operator with a reputation for accurate forecasting and execution excellence. - A truth-seeker who makes decisions based on data and adapts quickly as facts change. - Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action. - Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally. - Fluency in German and English is essential. LI-HS4 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Startup Sales
P-1507 We are looking for a Sales Leader to join our growing Startups segment. You will be responsible for overseeing and motivating a team of Hunting Account Executives focused on winning new logos within the VC-Backed Startup ecosystem. You will be measured by your team’s ability to break into new accounts, generate fresh pipeline, and exceed quota through new business acquisition. This is a team of high-energy, coachable sellers. We are looking for a leader who possesses a hunter’s instinct, and loves developing first-time Account Executives into elite closers and outbound experts. The impact you will have: - Drive Revenue Success: Own and exceed your team’s monthly, quarterly and annual sales targets. - Develop and Implement Strategic Plans: Develop and lead execution of strategic plans for team’s development and revenue attainment. - Build Trust-Based Relationships: Develop long term employee, customer, partner, and cross-functional relationships. - Lead with Value: Enable your team to understand the commercial and business goals of your customer and how they relate to our value proposition. - Empower and Enable the Front-Line Voice of Databricks: Lead your team to effectively communicate the value proposition throughout the customer journey. What we look for: - Experienced (3+ years) high-growth Data/AI/Infrastructure leader with experience leading a sales team to new heights - Experience translating a highly technical product to business value for the c-suite. Experience in big data, selling against open source or freemium models is a plus. - Track record of success executing against personal and team goals while always striving to uplevel your and your team’s skills - Proven leadership ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset - Ability to coach and develop fundamentals in your Account Executives including and not limited to prospecting, expansion, operational rigor, and personal development. - Excellent written and verbal communication skills as well as experience communicating with and presenting to the C-Suite - Willing to travel as needed ( About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Sales Specialist
SLSQ227R823 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Product Marketing, AI
MKTQ227R30 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations on the West Coast. Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build-high and use quality AI agents and applications. As Director of Product Marketing for Databricks AI, you will lead and develop a high-performing team while overseeing the end-to-end marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches. The impact you will have: - Own the marketing strategy and planning, ensuring alignment across teams and consistent execution - Lead, mentor, and scale a team of product marketers, fostering a culture of accountability, creativity, and continuous development - Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events - Establish and operationalize an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption - Build a strong and collaborative partnership with product and engineering teams to launch new products - Build trust with customers and amplify their agentic AI success stories What we look for: - 10+ years of technical product marketing experience in an enterprise software company including experience leading and developing teams - Experience with AI/ML technologies - Strong understanding of AI decision makers and builders (developers, AI engineers), and experience in building relevant content for them - Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel - Experience presenting at conferences and customer engagements - Preferred BS in Computer Science or Engineering, coupled with MBA Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $240,100 - $330,100 USD Zone 2 Pay Range $216,100 - $297,100 USD Zone 3 Pay Range $204,100 - $280,600 USD Zone 4 Pay Range $192,100 - $264,100 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Paid Media
MKTQ225R87 Databricks is seeking a Director, Paid Media to lead our global media planning function and define how paid media supports brand awareness, demand generation, and pipeline growth across the full funnel. You will lead a team of global media planners to develop audience-first, account-focused strategies that engage both technical practitioners and executive decision-makers across priority accounts. This highly cross-functional role partners closely with Corporate Brand, Product Marketing, Integrated Campaigns, Field Marketing, Analytics, and external agencies to deliver cohesive, data-driven media strategies at scale. The impact you will have: - Guide the development of cross-channel media strategies that deliver measurable year-over-year increases in brand awareness, target account engagement, and pipeline contribution across integrated campaigns and priority product areas. - Build and scale a high-performing global media strategy organization by hiring and developing top talent, increasing talent density, scalability, and strategic output over time. - Create an environment of continuous learning with clear expectations, coaching, and growth opportunities, resulting in improved team performance, stronger bench strength, and readiness to support evolving business priorities. - Establish and scale global media planning frameworks, processes, and best practices that improve consistency and efficiency across regions and campaigns, reducing planning cycle times and increasing adoption of standard methodologies. - Align media investment strategy and budget allocation to business goals so that a greater share of spend is directed toward the highest-impact audiences, channels, and programs, improving return on media investment and pipeline efficiency. - Ensure media strategies are grounded in strong audience insights and aligned to key practitioner and executive personas, increasing reach, penetration, and engagement within priority accounts. - Implement consistent global measurement frameworks and executive-ready reporting in partnership with Analytics, improving visibility into media’s contribution to pipeline and revenue and enabling faster optimization cycles. - Model and reinforce Databricks’ culture principles while staying ahead of evolving media trends and best practices through a structured test-and-learn agenda, resulting in a collaborative, high-performance team and continuous improvements in overall media effectiveness. What we look for: - 10+ years of experience in media strategy, digital marketing, or integrated marketing in a B2B environment within SaaS or enterprise technology. - Proven experience leading global media planning efforts across multiple channels and funnel stages, with demonstrated impact on pipeline, engagement, or revenue metrics. - Demonstrated experience hiring, developing, and managing teams of individual contributors, including early and mid-career talent, with a track record of building high-performing teams. - Strong understanding of full-funnel marketing measurement, including brand, demand, pipeline, and revenue metrics. - Ability to set clear objectives, prioritize effectively, and empower teams to deliver results with autonomy. - Strong collaboration and influencing skills, with experience driving alignment across matrixed organizations. - Excellent analytical skills with the ability to translate complex data into clear strategic recommendations that drive business decisions. - Familiarity with modern media platforms, AdTech, and measurement tools. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $183,400 - $252,250 USD Zone 2 Pay Range $165,100 - $227,050 USD Zone 3 Pay Range $155,900 - $214,400 USD Zone 4 Pay Range $146,700 - $201,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director of Engineering (Data Infrastructure)
(P-1490) Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth. In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms. You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople. The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible. The impact you’ll have: - Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen - Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent , hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work - Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting - Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic - Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions What you’ll need: - 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare - Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide - Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time - Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen - Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong - Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally - BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director of Engineering
(P-1384) About the Team At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development. The impact you will have: - Solve real business needs at a large scale by applying your software engineering - Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership - Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture - Manage technical debt, including long term technical architecture decisions and balance product roadmap - Leading and participating in technical, product, and design discussions - Building, managing, and operating a highly scalable services in the cloud - Growing leaders on the team by providing coaching, mentorship, and growth opportunities - Partnering with other engineering and product leaders on planning, prioritization and staffing - Creating a culture of excellence on the team while leading with empathy What we look for: - 15+ years of industry experience building and supporting large-scale distributed systems - Building, growing, and managing high-performance teams - Ability to attract and hire engineers who meet the Databricks hiring principles - Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner). - Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas. - BS in Computer Science or Masters or PhD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists - Retail
SLSQ227R818 Director, Lakebase Sales Specialists - Retail, CPG, Travel & Hospitality We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business across our RCT Vertical (Retail, CPG, Travel & Hospitality). Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $430,400 - $591,800 USD Zone 2 Pay Range $430,400 - $591,800 USD Zone 3 Pay Range $430,400 - $591,800 USD Zone 4 Pay Range $430,400 - $591,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists - HLS
SLSQ227R821 Director, Lakebase Sales Specialists We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business within the Healthcare & Life Sciences vertical. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $430,400 - $591,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists (Central regi...
SLSQ227R832 We are open to strong candidates based in other locations in Germany. We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists across the Central region responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - Experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - Experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists
SLSQ227R829 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists
SLSQ227R826 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - Experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - Experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists
SLSQ227R819 Director, Lakebase Sales Specialists We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, PaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialists
SLSQ227R829 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialist- Financial Ser...
SLSQ227R822 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $430,400 - $591,800 USD Zone 2 Pay Range $430,400 - $591,800 USD Zone 3 Pay Range $430,400 - $591,800 USD Zone 4 Pay Range $430,400 - $591,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialist
SLSQ227R816 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Lakebase Sales Specialist
We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialist, to lead a team of specialists responsible for growing the Databricks Lakebase business in Japan. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team - Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. - Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. - Foster a culture of accountability, execution, and customer focus. - Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. - Execute the Developer and Platform Sales Motion - Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. - Enable the regional core field sales team to identify and qualify operational workload opportunities. - Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. - Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. - Strategic Customer and Partner Engagement - Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. - Position Databricks as a premier application data platform alongside its data and AI capabilities. - Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. - Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. - Provide Field Feedback to Product and GTM - Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. - Provide structured insights on regional customer requirements, competitive dynamics, and blockers. - Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. What We Look For: - 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. - 3+ years of experience directly managing high-performing enterprise sales or specialist teams. - Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. - Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. - Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. - Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. - A proven record of meeting or exceeding revenue targets in highly competitive markets. - Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. - Excellent communication, coaching, and presentation skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Global Premier Support
P-1562 As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents. The Impact You Will Have - Hire, onboard, and develop a top-tier team of designated support engineers (DSE) - Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences - Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs. - Contribute to program enhancements and offerings tailored to evolving customer needs - Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction - Conduct internal and external Support Experience QBRs What We Look For - 18+ years of industry experience, with at least 8+ years of management experience - Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles - Ability to work with strategic customers, driving multiple competing priorities - Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP) - 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations - Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering - Experience with influencing senior executives and and senior customer leaders - B.S degree in Computer Science or a related field is required (M.S. preferred) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Global Delivery Excellence
FEQ327R584 Director, Global Delivery Excellence Databricks Learning & Enablement upskills data and AI teams worldwide so customers, partners, and employees can best leverage Databricks to drive business outcomes. We are hiring a Global Delivery leader to lead our global team and to evolve how we deliver training for an AI-first world. You will own staffing strategy and instructor readiness across our FTE and authorized training partner (ATP) workforce, run an AI-first delivery operation, and advance the shift from traditional, catalog-based instructor-led training toward customized, customer-specific delivery. This role is the right fit if you lead from data, develop best-in-industry instructors, and want to reshape a delivery model rather than just run it. Scope of Impact - Owns the global training delivery function across customer, partner, and internal audiences. - Owns instructor staffing and readiness strategy: balances FTE and ATP supply and forecasts skilling, language, and location needs through data analysis and cross-functional collaboration. - Translates L&E delivery strategy into execution: FTE-first regional sufficiency, with ATP to fulfill additional needs. - Leads the evolution of the delivery model toward AI-first operations and customized, customer-specific training. - Influences cross-functionally across Training Ops, Curriculum and Certification, and field GTM. Leadership - Sets Vision: Connects the team's daily delivery work to L&E's mission and to the shift toward an AI-first operating model. - Sets Strategy: Sets 12-month goals, plans, and measures for delivery capacity and quality, and makes FTE-versus-ATP trade-offs grounded in demand data. - Builds Teams: Hires, coaches, and develops a high-performing global instructor team, and builds the skilling pathways that keep instructor capability ahead of demand. - Drives Execution: Delivers training at quality and at sustainable pace, running proactive, data-driven capacity planning in place of reactive intake. - Champions Culture: Makes company-first capacity decisions and protects customer experience, including virtual-first scheduling that minimizes customer travel. Skills & Expertise - Technical bar: Demonstrated depth in data, analytics, and AI and the Databricks platform; Databricks certification preferred. - Workforce and capacity planning: Balances an employed and partner instructor workforce against forecasted demand by skilling area, language, and location. - Data fluency: Uses utilization, instructor quality scoring, CSAT, and coverage data to direct the team and defend resourcing decisions. - AI-first operating model: Applies AI across the delivery operation, including forecasting, scheduling, instructor prep, assessment, and instructor enablement. - Instructor development: Designs and runs instructor development and train-the-trainer programs, and evaluates delivery effectiveness. What we look for - Multiple years of people-leadership directly managing technical instructors, including a global, multi-region team. - Experience across the full training lifecycle: design, delivery, and evaluation. - A track record building and scaling instructor capacity across both employed and partner or contract workforces. - Proven technical depth in data, analytics, and AI; Databricks certification preferred. - May occasionally support selling the training offering to customers; this is secondary to the staffing, skilling, and delivery-model mandate. How success is measured - Instructor quality scoring, CSAT, HDUs delivered, Learners enabled, Training delivery backlog, and regional capacity coverage. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $207,600 - $285,450 USD Zone 2 Pay Range $186,900 - $256,950 USD Zone 3 Pay Range $176,500 - $242,650 USD Zone 4 Pay Range $166,100 - $228,350 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Generative Engine Optimization (GEO)
MKTQ125R59 Databricks is hiring a Director of Generative Engine Optimization (GEO) to define how our brand shows up across every surface where buyers discover, evaluate, and choose data and AI platforms—from AI-powered answer engines like ChatGPT, Gemini, and Claude to Google AI Overviews and traditional search. This leader will build and scale a global GEO product function from the ground up, shaping the strategy, AI tooling and workflows, team, and operating model that turns AI and organic discovery into a durable growth engine for Databricks. This is a build-the-function role: you'll set the strategy, do the hands-on work to prove it out, define how we measure success, and grow the team behind it. You'll sit at the center of content, product marketing, web, and demand gen — translating a fast-moving discipline into pipeline. The impact you will have: - Built a GEO function and operating model that reliably turns AI and organic discovery into a meaningful growth channel for Databricks, with a clear charter, roadmap, and engagement model for web, content, product marketing, and brand. - Significantly increased Databricks’ visibility and share of citations across priority AI answer engines (e.g., ChatGPT, Gemini, Claude, Google AI Overviews) so we consistently appear as a top recommended brand on high-intent product and category queries. - Demonstrably grown qualified organic and AI-referred traffic, conversions, and influenced pipeline for priority product lines and audiences by aligning GEO strategy and experimentation with business goals. - Stood up a robust GEO experimentation and measurement engine (tests on content structure, schema, semantic depth, technical changes) that produces a prioritized roadmap and measurable lifts in AI citation rate, sentiment, engagement, and downstream funnel performance. - Improved the technical health and AI crawlability of high-value pages in partnership with Web, Engineering, and Marketing Systems, so that both traditional search engines and AI assistants can reliably access, understand, and surface Databricks content. - Embedded GEO standards and playbooks across marketing and product teams , so new and refreshed content is consistently structured to be AI-citable and answer-focused, and GEO best practices show up in campaign, web, and content workflows by default. - Built and led a high-performing GEO team , with clear roles, mentorship, and development paths, and established an executive-ready reporting and insights function that earns trust from the VP, CMO, and other senior stakeholders. What we look for: - 10+ years in technical search, discovery, or adjacent domains, including meaningful time owning systems that drive organic or AI-powered discovery in a high-growth environment. - Deep technical foundation across web architecture, crawling and indexing, structured data/schema, Core Web Vitals, and log/crawl analysis, with a track record of working directly with engineers to ship changes at scale. - Proven experience designing and running experimentation programs (on content structure, schema, and technical changes) that produce prioritized roadmaps and measurable lifts in visibility, traffic, and downstream business KPIs. - Demonstrated success building from zero-to-one: defining a new function’s charter, roadmap, operating model, and metrics, and then hiring, coaching, and leading a team of ICs to deliver against it. - Track record of building, mentoring, and managing high-performing teams – including setting clear expectations, providing regular coaching and feedback, and developing ICs into senior, highly autonomous operators. - Strong analytical skills and comfort working hands-on with data and measurement tooling to connect AI/search performance to business impact and produce clear, executive-ready insights. - Experience operating in a complex, cross-functional environment (e.g., web engineering, marketing systems, data/analytics, brand, product) and driving alignment and decisions without relying on formal authority. - Clear, concise written communication, with an emphasis on technical specifications, experiment design docs, and straightforward executive updates rather than marketing copy. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Forward Deployed Engineering
CSQ327R286 Director, Forward Deployed Engineering (FDE) – Federal As the Director of Forward Deployed Engineering (FDE) for our Federal business, you will partner with our customers to democratize Data and AI within their organizations. Leveraging Databricks solutions and expertise, you will help address some of the federal government's most critical and complex challenges. Reporting to the Head of Forward Deployed Engineering for Public Sector, you will lead a team of Delivery & Engagement Managers (DEMs) and Technical Program Managers (TPMs) focused on planning and executing high-impact services. You will partner closely with Go-To-Market (GTM) leadership and account teams to support discovery conversations, scope alignment, and contracting for FDE Services. Simultaneously, you will own the P&L for your segment and drive the strategy and execution required to deliver against our audacious business goals. You will cultivate a culture of psychological safety to develop and grow a team of talented, experienced federal DEMs and TPMs who deliver mission-focused big data and AI solutions. Your experience partnering with the sales organization will help close revenue opportunities, and you will coach new sales and pre-sales team members on how to optimize collaboration. Furthermore, you will actively enhance your team's overall effectiveness, serve as an expert in communicating complex business value-focused solutions, support intricate government sales cycles, and build enduring relationships with key stakeholders across the U.S. Federal sector. The impact you will have: - Build and Lead a High-Performing Team: Hire, manage, and develop Delivery & Engagement Managers and Technical Program Managers supporting our account teams and customers within the segment. - Drive Culture: Foster a collaborative, inclusive environment within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking culture and a first-principles mindset. - Strategic GTM Partnership: Develop, promote, and drive an outcomes- and value-based FDE organization. Build trust-based, long-term relationships with partners and customers, utilizing your understanding of the segment, verticals, and industry trends to influence the direction of key accounts. - Business & Operational Ownership: Own and manage the P&L for your business segment, demonstrating an in-depth understanding of business requirements, operational rigor, and resource allocation. - Industry Influence: Serve as a thought leader for Databricks and within the broader Federal Data and AI ecosystem. What we look for: - Clearance Requirement: Candidates for this leadership role must hold an active U.S. TS clearance or better and be able to maintain it. - Leadership Experience: At least 5 years of second-line leadership experience (managing managers), with 10+ years of overall leadership experience managing teams of 20+ individuals. - Domain Expertise: Relevant high-growth enterprise software pre-sales or professional services success, with senior-level tenure at a reputable software or cloud provider. - Strategic Deal Execution: Ability to elevate customer engagement, with a proven track record of driving large transactions, managing high-growth accounts, and delivering transformational customer value. - Ecosystem Building: A track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships across Sales, Engineering, and Marketing. - Platform Value Realization: Experience positioning solutions in complex strategic accounts, finding a path to mutual value, and driving durable consumption on the Databricks platform. - Operational Excellence: Strong ability to drive operational rigor in a high-growth business—establishing the right cadences, instituting scalable processes for technical field members, and driving visibility and support for customer issues/feature requests. - Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Finance PMO, Strategy & Operations, FP&A
GAQ426R237 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Overview: Databricks is seeking a Director of Finance PMO, Strategy and Operations supporting FP&A to fundamentally re-imagine and evolve how our global Financial Planning & Analysis (FP&A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP&A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders. This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP&A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion "Databricks on Databricks"—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth. If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact. The Impact You Will Have - Strategic Advisor & Design Partner: Serve as a key sounding board and right-hand to senior FP&A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals. - Transform FP&A with Databricks: Lead the charge in changing how FP&A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation and predictive analytics. - Drive High-Stakes, Cross-Functional Execution: Design and execute against complex, large-scale initiatives across Finance, IT, Engineering, Product, and Go-to-Market (GTM). - Executive Visibility & Communication: Own the narrative. Run FP&A leadership forums, orchestrate the OKR and Quarterly Business Review (QBR) processes, and deliver high-impact executive communications to the CFO, Head of Sales, and other top-level leaders. - Commercialization & Scale: Provide a strategic lens on commercialization and scale, ensuring financial processes seamlessly support evolving product strategies, pricing models, and GTM motions. What We Look For - Experience: 12+ years of progressive experience, ideally combining elite management consulting with in-house leadership roles within high-growth corporate FP&A or Business Operations functions. - Strategic FP&A Expertise: Deep, foundational knowledge of FP&A architecture, combined with a distinct bias toward strategy and business transformation rather than purely routine operations. - Transformation Catalyst: Proven success leading large-scale corporate transformations, re-architecting legacy workflows, and successfully managing the organizational change that comes with new technologies. - Data & AI Tech Fluency: Experience implementing or managing AI, machine learning, or advanced automation tools within a finance org. Familiarity with SQL, Python, or data analytics platforms is highly desirable; a passion for leveraging the Databricks platform to solve financial complexity is required. - Elite Executive Presence: Exceptional communication and presentation skills (expert-level Google Slides). Ability to command a room, influence senior executives, and distill complex financial transformations into clear, actionable strategies. - Industry Context: Experience in the SaaS or high-tech enterprise software landscape. Exposure to corporate commercialization, pricing strategies, or product-led growth metrics is a strong plus. - Education: Bachelor’s degree in Business, Finance, Economics, or a highly analytical field; MBA or advanced degree preferred. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $221,800 - $305,050 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $199,700 - $274,550 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 3 Pay Range $188,600 - $259,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Field Engineering - Financial Services
FEQ327R500 As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges. Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations. The impact you will have: - Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects. - Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture and a first principles mindset - Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts. - Promote a solution and value-based selling field-engineering organization. - Display an understanding of business needs and revenue potential for accounts in the assigned region. - Be a thought leader for Databricks and in the Data and AI ecosystem. What we look for: - At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience - Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider. - Ability to elevate engagement, with a track record of driving large transactions and high-growth customers. - Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach. - Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests. - Proven track record of transformational success and delivery of customer value. - Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing). - Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform - Great at instituting processes for technical field members to improve efficiency. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $218,400 - $300,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Field Engineering
Req: FEQ427R187 Location: Tokyo, Japan We are looking for a Director, Field Engineering in Japan to join our world-class, hyper‑growth organization. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects , focusing on complex, strategic accounts and driving our expansion in Japan across manufacturing and automotive . You will partner closely with Sales to grow product consumption, while coaching sales and pre‑sales teams to operate as a single, high-performing unit. You are adept at articulating complex, business value‑focused solutions, supporting sophisticated enterprise sales cycles, and building trusted relationships with senior stakeholders in large Japanese corporations. This role reports to the Technical GM – Japan . The impact you will have - Hire and manage first-line Managers and a growing team of technical pre‑sales Solutions Architects . - Build a highly collaborative culture within a rapid‑growth team, embodying and promoting Databricks’ customer‑obsessed , team‑oriented , and diverse culture. - Increase the return on investment of SA involvement in sales cycles by ensuring the right technical coverage and engagement model. - Build long-term, trust-based relationships with customers; understand the local market landscape and trends, and report on forces that shape the strategic direction of accounts. - Champion a solution- and value-based selling motion across Field Engineering. - Demonstrate a strong understanding of business needs and revenue potential across your territory. - Build the Databricks brand in Japan in partnership with the Marketing and Sales teams. What we look for - Second-line leadership experience (manager of managers) leading teams of 20+ individuals. - Demonstrated success in high‑growth enterprise software pre‑sales, with senior‑level tenure at a reputable software company and deep experience in the Japan market . - Proven ability to elevate customer engagement, with a track record of closing large, complex transactions and scaling high‑growth customers. - Strong leadership skills to influence, develop, and empower Managers and ICs to achieve ambitious objectives as a team. - Proven record of transformational impact and delivery of measurable customer value . - Track record of building strong ecosystems of customer relationships and cross‑functional partnerships ( Sales, Engineering, Marketing, Customer Success , etc.). - Experience supporting complex strategic accounts generating $5M+ ARR . - Deep interest in and understanding of data‑driven decision making, AI, and cloud software models . - Demonstrated ability to implement scalable processes for technical field teams to improve efficiency and execution quality. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. - Fluent Japanese required; business‑level English strongly preferred. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Field Engineering
Req ID - FEQ227R94 Location: Toronto, ON While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Ontario also will be considered. We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in Canada across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business. Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM - Canada. The impact you will have - Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects - Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture - Support increased return on investment of Solutions Architect involvement in sales cycles - Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts - Promote a solution and value-based selling field-engineering organisation - Display an understanding of business needs and revenue potential for accounts in the assigned region - Build Databricks' brand in Canada in partnership with the Marketing and Sales team What we look for - 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals - Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the Canadian region - Ability to elevate the engagement with a track record of driving large transactions and high growth customers - Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach - Proven track record of transformational success and delivery of customer value - Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing) - Experience in complex strategic accounts generating +$5M ARR - Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models - Great at instituting processes for technical field members to improve efficiency - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $221,200 - $304,150 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Field Engineering
FEQ127R195 We are looking for a Director, Field Engineering to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Asean region. Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM, Asean and Greater China Region. The impact you will have: - Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects - Build a collaborative culture within a rapid-growth team to embody and promote Databricks' customer-obsessed, teamwork and diverse culture - Support our growing consumption business focusing on customer value and supporting your SA team in this motion - Support increased return on investment of Solutions Architect involvement in sales cycles - Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts - Promote a solution and value-based selling field-engineering organisation - Display an understanding of business needs and revenue potential for accounts in the assigned region - Build Databricks' brand in the Asean region in partnership with the Marketing and Sales team What we look for: - 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals - Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region - Ability to elevate the engagement with a track record of driving large transactions and high growth customers - Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach - Proven track record of transformational success and delivery of customer value - Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing) - Experience in complex strategic accounts generating +$1M ARR - Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models - Great at instituting processes for technical field members to improve efficiency - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, FDE (SLED/CIV)
CSQ327R287 Director, Forward Deployed Engineering (FDE) – SLED & FedCIV As the Director of Forward Deployed Engineering (FDE) for our Public Sector business (SLED & FedCIV), you will partner with our customers to democratize Data and AI within their organizations. Leveraging Databricks solutions and expertise, you will help address some of the public sector’s most critical and complex challenges. Reporting to the Head of Forward Deployed Engineering for Public Sector, you will lead a team of Delivery & Engagement Managers (DEMs) and Technical Program Managers (TPMs) focused on planning and executing high-impact services. You will partner closely with Go-To-Market (GTM) leadership and account teams to support discovery conversations, scope alignment, and contracting for FDE Services. Simultaneously, you will own the P&L for your segment and drive the strategy and execution required to deliver against our audacious business goals. You will cultivate a culture of psychological safety to develop and grow a team of talented, experienced public sector DEMs and TPMs who deliver mission-focused big data and AI solutions. Your experience partnering with the sales organization will help close revenue opportunities, and you will coach new sales and pre-sales team members on how to optimize collaboration. Furthermore, you will actively enhance your team's overall effectiveness, serve as an expert in communicating complex business value-focused solutions, support intricate government sales cycles, and build enduring relationships with key stakeholders across the U.S. public sector. The impact you will have: - Build and Lead a High-Performing Team: Hire, manage, and develop Delivery & Engagement Managers and Technical Program Managers supporting our account teams and customers within the segment. - Drive Culture: Foster a collaborative, inclusive environment within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking culture and a first-principles mindset. - Strategic GTM Partnership: Develop, promote, and drive an outcomes- and value-based FDE organization. Build trust-based, long-term relationships with partners and customers, utilizing your understanding of the segment, verticals, and industry trends to influence the direction of key accounts. - Business & Operational Ownership: Own and manage the P&L for your business segment, demonstrating an in-depth understanding of business requirements, operational rigor, and resource allocation. - Industry Influence: Serve as a thought leader for Databricks and within the broader public sector Data and AI ecosystem. What we look for: - Clearance Requirement: Candidates for this leadership role must be able to obtain and maintain a minimum of a U.S. Secret clearance. - Leadership Experience: At least 5 years of second-line leadership experience (managing managers), with 10+ years of overall leadership experience managing teams of 20+ individuals. - Domain Expertise: Relevant high-growth enterprise software pre-sales or professional services success, with senior-level tenure at a reputable software or cloud provider. - Strategic Deal Execution: Ability to elevate customer engagement, with a proven track record of driving large transactions, managing high-growth accounts, and delivering transformational customer value. - Ecosystem Building: A track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships across Sales, Engineering, and Marketing. - Platform Value Realization: Experience positioning solutions in complex strategic accounts, finding a path to mutual value, and driving durable consumption on the Databricks platform. - Operational Excellence: Strong ability to drive operational rigor in a high-growth business—establishing the right cadences, instituting scalable processes for technical field members, and driving visibility and support for customer issues/feature requests. - Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Enterprise Sales, Public Sector
SLSQ327R246 Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for an Enterprise Sales Director to lead our growing Public Sector business in Ottawa. Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks' consumption. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a strong desire to drive value for our customers. You will oversee the sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting. This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the Canadian sales organization. We are looking for owners, who will go the extra mile and want to be the very best at what they do. The impact you will have: - Lead a team of account executives, ensuring you coach them to develop the skills and behaviors they will need to succeed - Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements - Report on revenue forecast and strategic GTM programs - Partner with cross-functional teams to manage a complete revenue and customer success process - Inspire a culture of teamwork, leading with value and achieving desired customers outcomes - Develop trust-based relationships with customers and partners to ensure long-term success - Encourage learning and ongoing understanding of technical product details and our future product roadmap - Establish a revenue growth and investment plan in the first 90 days - Deliver our strategic growth plans, in collaboration with the other function leaders across Canada, ensure forecast accuracy and a predictable, high-growth business What we look for: - Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry, specifically within the Public Sector space. - History of exceeding sales quotas in similar high-growth technology companies - Ability to engage with and hire sales talent in the market - Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality - Experience of value-based sales with both the business and IT stakeholders including C suite - Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales - Extended Executive relationship network with key customers. - Knowledge of the partner ecosystem to help grow Enterprise strategic territories - Success implementing strategies for consumption and commitment-based sales revenue models. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Enterprise - Growth
SLSQ427R369 The primary mission of this Hunter role is to lead the charge in acquiring new logos and conquering greenfield territories across the UK & Ireland. You will be responsible for building a dominant presence in the Healthcare, Professional Business Services, Retail, and CPG industry verticals by landing strategic new accounts and then strategically growing those accounts to maximise Databricks consumption. This position offers the opportunity to make an immediate impact by driving high-velocity sales motions that balance aggressive new logo entry with long-term territory management. We are looking for an Enterprise Sales Director to join our rapidly growing business in the UK. You will lead some of our leading industry verticals and will be measured by achieving your team's overall quota, new logo activation, and growing Databricks usage. This is a team of account executives that are passionate about building a data ecosystem in the UK&I, technically knowledgeable and have a desire to help customers and partners succeed. You will be responsible for overseeing and motivating the Sales team, implementing sales plans, developing new business, expanding existing business, and delivering accurate and timely sales forecasting and reporting. This is an opportunity to build and lead an integral part of the EMEA sales team, so we are looking for owners, who will go the extra mile and want to be the very best at what they do. The impact you will have: - Lead the team in new logo acquisition, ensuring a relentless focus on pipeline generation and greenfield opportunities - Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements - Report on revenue forecast and strategic GTM initiatives - Drive the transition from "landing" to "expanding," ensuring that new wins are strategically cultivated into high-usage Databricks accounts - Manage the front-line voice of Databricks, effectively communicating the value proposition through proposals and presentations - Inspire a culture of teamwork, leading with value and achieving desired customers outcomes - Partner with cross-functional teams to create, implement, and manage a complete revenue and customer success process - Develop trust-based relationships with customers and partners to ensure the UK’s long-term success - Utilise your business network to develop a pipeline and hire qualified candidates to grow the team - Encourage learning and ongoing understanding of technical product details and our future product roadmap - Establish a regional growth and investment plan in the first 90 days - Develop and deliver our strategic growth plans in the UK, in collaboration with the regional leaders across EMEA , ensure forecast accuracy and a predictable, high-growth business - Establish and expand Strategic Regional System Integrator partnerships to support the development of our UK customer base and prospects What we look for: - Experience as a high-growth enterprise software sales leader with demonstrable track record of success leading high-performing sales teams serving Enterprise customers in the UK within the Big Data, Cloud, or SaaS Sales Industry. Knowledge and relationships relating to Healthcare, Professional Business Services, Retail, CPG are also beneficial but not essential. - Passion for Strategic New Logo acquisition, with a track record of success, - Ability to engage with and hire the best sales talent in the market - Strong proficiency in MEDDPIC methodology, value-based sales, and maintaining a Challenger mentality while managing complex enterprise deals - Expert knowledge of value based sales with both the business and IT stakeholders including C suite - Experience in leadership roles focussed on developing and managing new sales organisations to influence, develop, and achieve objectives within Big Data, Cloud, or SaaS sales - Able to articulate and evangelise the value and align it with customer outcomes - You live our core values: customer obsessed, raise the bar, truth seeking, first principles, bias for action, and company first. - History of exceeding sales quotas in similar high-growth technology companies - Knowledge of developing the partner ecosystem to help grow Enterprise strategic territories - Success implementing strategies for consumption and commitment based sales revenue models - Able to deliver accurate and timely sales forecasts and management reporting using SFDC as well as Clari (preferable not mandatory) - Fluent English language skills About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Compensation
GAQ327R302 Databricks is seeking a seasoned compensation leader to serve as a Director, Compensation, driving strategic impact across the business while leading and developing a team of client compensation partners. Reporting to the VP, Total Rewards, this role is responsible for building and delivering best-in-class compensation programs that help attract, retain, and motivate world-class talent across Databricks. At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a leader who combines deep technical compensation expertise with exceptional people leadership and a passion for building scalable, equitable programs. The impact you will have: This is a high-impact, people leadership role that will effectively cover the below areas and the anticipated time spent on each: - Leading, coaching, and developing a team of three to four client compensation partners (25%) - Partnering with the VP Rewards and other team members to drive enterprise-wide compensation strategy, design, and program delivery (30%) - Collaboration with People team members, business leaders, and other cross-functional partners on complex, sensitive compensation matters (25%) - Operational excellence, tooling, and continuous improvement of compensation infrastructure (20%) What we look for: Compensation expertise - Know your craft — Deep mastery of job architecture, compensation frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design; demonstrated experience designing and scaling programs across a fast-growing, global organization - Know your data — Exceptional analytical horsepower with the ability to translate complex data into clear narratives, recommendations, and executive-ready insights; strong command of competitive trends in cash, equity, and total rewards; advanced capabilities in gSheets and Excel; proficiency in Tableau, SQL, Python, or AI-assisted analytics is a strong plus - Know the competition — Expert-level knowledge of tech compensation practices, particularly around equity strategy (new hire, refresh, and performance-based), and an ability to benchmark and evolve programs to stay ahead of the market - Be rational — Ability to hold the tension between compensation philosophy, first-principles reasoning, and pragmatic business solutioning; comfortable making and defending difficult tradeoffs in ambiguous situations People leadership - Develop talent — Proven track record of leading, mentoring, and growing a team of compensation professionals; ability to set a clear vision, delegate with confidence, and create an environment where the team does their best work - Drive accountability — Set clear goals and expectations, create feedback loops, and hold the team to a high bar while remaining a supportive and empowering manager - Model the craft — Remain hands-on where needed; serve as a thought partner and technical escalation point for your team on complex or high-stakes compensation decisions Operational and partnership excellence - Build innovatively & scale effectively — Architect frameworks and solutions that address today's challenges while anticipating the needs of a rapidly scaling organization; champion consistency and repeatability without sacrificing flexibility - Leverage AI and automation — Define and execute a roadmap for next-generation compensation tooling and data infrastructure; actively leverage AI to improve market pricing, decision quality, manager enablement, and workflow efficiency; champion a culture of continuous improvement through technology - Operational capability — Connect the dots across systems, stakeholders, and programs to deliver compensation products and cycles with precision and at scale; ensure data, workflows, and governance are built to support compliant, scalable execution - Savvy collaborator — Partner closely with People Business Partners, Finance, Legal, and senior business leadership to understand, anticipate, and solve complex talent and business needs; navigate competing priorities and organizational dynamics to drive the best outcomes; serve as the compensation lead on M&A diligence and integration activities - Trusted advisor — Serve as a credible, senior voice on the most sensitive and consequential compensation decisions across the company, including executive offers, critical retention situations, organizational restructuring, and cross-functional pay equity matters; bring sound judgment and data-backed recommendations every time What you'll bring - 10+ years of progressive compensation experience, with at least 3 years in a people management role leading a team of compensation professionals - Deep experience in the tech sector — preferably at a high-growth private or pre-IPO company — with a strong grasp of how compensation strategy evolves across different stages of scale - Proven ability to design and deliver enterprise-wide compensation programs (year-end cycles, midyear, equity refresh, promotions) across a global, distributed workforce - Track record of operating as a senior business partner to founders, executives, and People leadership on high-stakes, time-sensitive compensation decisions - Demonstrated experience using data and analytics to drive compensation decisions; comfort with tools like gSheets, Excel, and ideally Tableau, SQL, or Python Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $218,100 - $299,850 USD Zone 2 Pay Range $196,200 - $269,850 USD Zone 3 Pay Range $185,400 - $254,850 USD Zone 4 Pay Range $174,500 - $239,900 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Director, Americas Field Marketing at Databricks
MKTQ327R31 The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digital Natives, Startups, Retail, Communications, Media and Gaming, LATAM, and Canada business units. This role reports to the VP of Americas Marketing and owns the pipeline-generation strategy and execution, driving the next evolution of field marketing through data-driven program optimization, innovative demand generation, and scalable growth systems and processes. You'll hire and lead a high-performing team that treats every dollar spent as an investment in a measurable pipeline, moving beyond traditional event metrics to focus on conversion rates, deal velocity, and revenue attribution. The impact you will have: - Pipeline Ownership: Deliver measurable pipeline targets with full accountability for lead-to-revenue conversion across regulated industries - Data-Driven Strategy: Help build Americas field marketing strategy based on rigorous ROI analysis, pipeline attribution, and predictive analytics - Program Evolution: Transform team from event-focused to full-funnel demand generation, creating integrated campaigns that drive pipeline at every stage - Conversion Optimization: Implement testing frameworks and optimization processes that continuously improve conversion rates from awareness to closed-won - Revenue Attribution: Use pipeline attribution and reporting to directly connect field marketing investments to revenue outcomes - Scalable Systems: Design repeatable, scalable programs and processes that generate predictable pipeline growth in a hyper-growth environment - Cross-Functional Excellence: Drive seamless handoffs between marketing and sales with SLA-driven lead management and pipeline acceleration programs - Team Development: Build and mentor a team of pipeline-focused field marketers who understand the full customer journey and revenue impact What we look for: - Pipeline Expertise: 10+ years managing field programs with direct pipeline accountability and proven track record of exceeding revenue targets - Data & Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau, and marketing automation platforms - Hyper-Growth Experience: 7+ years scaling field marketing programs in fast-growing tech companies, with experience managing large budgets ($2M+) and demonstrating clear ROI - Team Leadership: 5+ years building and leading high-performing field marketing teams with pipeline accountability - Revenue Operations: Deep understanding of demand generation funnels, lead scoring, sales processes, and revenue operations in B2B environments - Innovation Mindset: Proven ability to create breakthrough programs beyond traditional events—digital experiences, account-based campaigns, and omnichannel strategies - Systems & Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows - Stakeholder Management: Strong partnership skills with sales leaders, with the ability to speak their language around pipeline, conversion, and revenue impact Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $223,400 - $307,100 USD Zone 2 Pay Range $201,000 - $276,450 USD Zone 3 Pay Range $189,800 - $261,050 USD Zone 4 Pay Range $178,700 - $245,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Deployment Strategist
CSQ327R185 As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement. You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset. The impact you will have: - C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline). - End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester. - Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues. - Solution Launch & Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value. - Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement. What we look for: - Executive Presence & Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks. - Product & Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why. - Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done. - Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy). - Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Deployment Strategist
CSQ427R234 As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement. You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset. The impact you will have: - C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline). - End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester. - Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues. - Solution Launch & Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value. - Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement. What we look for: - Executive Presence & Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks. - Product & Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why. - Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done. - Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy). - Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Deployment Strategist
CSQ427R28 As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement. You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset. The impact you will have: - C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline). - End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester. - Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues. - Solution Launch & Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value. - Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement. What we look for: - Executive Presence & Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks. - Product & Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why. - Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done. - Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy). - Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Deployment Strategist
CSQ327R60 About the Team The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role Description As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a "product manager for the field," owning the entire non-technical lifecycle of an FDE engagement. You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value . You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, "get it done" execution mindset. What You’ll Do - C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline). - End-to-End Product Ownership: Act as the "CEO" of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester. - Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the "escalation manager" to unblock all technical or political issues. - Solution Launch & Landing: Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value. - Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement. Requirements - Executive Presence & Communication: A "Trusted Advisor" with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks. - Product & Strategy Mindset: A "Product Thinker" and "Systems Thinker" who can perform a SWOT analysis, understand a competitive landscape, and define "what" to build and "why." - Relentless Execution: An "Execution Driver" with a "Hands-On" mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done. - Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a "builder" or "founder" capacity. (Alternatively: 5+ years in a senior, client-facing "product" or "delivery" role at a top-tier tech company or consultancy). - Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $182,000 - $250,208 USD Zone 2 Pay Range $182,000 - $250,208 USD Zone 3 Pay Range $182,000 - $250,208 USD Zone 4 Pay Range $182,000 - $250,208 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Startups & Emerging...
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritized customers - Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations - Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise - Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades - Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What we look for: - 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture for distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverable - Technical program or project management, including accountability for accounts, stakeholders, and resources - Experience resolving complex, high-stakes escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects - Track record of overachievement against quota, goals, or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Retail, Travel & Ho...
FEQ227R319 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Public Sector
CSQ426R15 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise - Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement/user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - U.S. citizenship - 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related to distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management, including account, stakeholder and resource management accountability - Experience in resolving complex and important escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Oil & Gas
CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritized customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise - Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: - Main use cases moving from ‘win’ to production - Enablement/user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL, or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related to distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management, including account, stakeholder, and resource management accountability - Experience in resolving complex and important escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects - Track record of overachievement against quota, goals, or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - High-Tech & Manufac...
CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritized customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise - Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: - Main use cases moving from ‘win’ to production - Enablement/user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL, or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related to distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management, including account, stakeholder, and resource management accountability - Experience in resolving complex and important escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects - Track record of overachievement against quota, goals, or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Healthcare & Life S...
CSQ327R23 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $152,300 - $209,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Financial Services
CSQ227R17 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Digital Native Busi...
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Digital Native Busi...
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $152,300 - $209,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect - Communications, Med...
CSQ427R103 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritized customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise - Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: - Main use cases moving from ‘win’ to production - Enablement/user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL, or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related to distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management, including account, stakeholder, and resource management accountability - Experience in resolving complex and important escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects - Track record of overachievement against quota, goals, or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $180,000 - $247,500 USD Zone 2 Pay Range $180,000 - $247,500 USD Zone 3 Pay Range $180,000 - $247,500 USD Zone 4 Pay Range $180,000 - $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect
CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python or Spark - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect
REQ ID - CSQ427R11 Location: Vancouver, BC | Calgary, AB | Edmonton, AB / Toronto, ON At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised customers - Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations - Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise - Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs - Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: - Main use cases moving from ‘win’ to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) - Organic needs for current investment (e.g. cloud cost control, tuning & optimization) - Executive and operational governance - Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: - 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers - Programming experience in Python, SQL or Scala - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program, or project management including account, stakeholder and resource management accountability - Experience resolving complex and important escalation with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Track record of overachievement against quota, Goals or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $175,800 - $241,800 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Delivery Solutions Architect
CSQ227R25 At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Lakehouse platform. As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform. As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon. This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks. You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization. You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers. The impact you will have: - Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers. - Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts. - Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. - Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. - Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise. - Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals. - Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog). - Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams: - Key use cases moving from 'win' to production - Enablement / user growth plan - Product adoption (strategy and activities to increase adoption of LH vision) - Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization - Executive and operational governance - Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM - Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team What we look for: - 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Experience understanding architecture related distributed data systems, specifically within one of the following: - Data Engineering technologies (e.g. Spark, Hadoop, Kafka) - Data Warehousing (e.g. SQL, OLTP/OLAP/DSS) - Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO) - Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth. - Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally - Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaing strong CxO level relationship - Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives - Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects - Building and steering to a value case - business value consulting and realization - Quota ownership, achievement and track record of great performance against objective target - Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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