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Sr. Engagement Manager, Forward Deployed Engineeri...
CSQ327R29 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in Latin America (LATAM) for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: - Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. - Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. - Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. - Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. - Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: - 7-10 years running a Professional Services line of business. - 10+ years in senior customer-facing roles with a mix of influencing and execution. - Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). - Strong knowledge of Databricks architecture, competitors, and migration benefits. - Proven track record of managing large-scale program plans and service delivery. - Ability to travel up to 25-50% as required. 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.
Sr. Engagement Manager, Forward Deployed Engineeri...
CSQ327R64 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization for our Digital Native Business (DNB) customers as well as to account teams and customers for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: - Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. - Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. - Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. - Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. - Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: - 7-10 years running a Professional Services line of business. - 10+ years in senior customer-facing roles with a mix of influencing and execution. - Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). - Strong knowledge of Databricks architecture, competitors, and migration benefits. - Proven track record of managing large-scale program plans and service delivery. - Ability to travel up to 25-50% as required. 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 $144,800 - $199,100 USD Zone 2 Pay Range $130,300 - $179,200 USD Zone 3 Pay Range $123,100 - $169,300 USD Zone 4 Pay Range $115,800 - $159,300 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.
Sr. Engagement Manager
CSQ227R247 The Engagement Manager is responsible for helping customers accelerate value through the adoption of the Databricks platform working with them defining and orchestrating the required engagement to ensure success. As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Partners Support and Product Teams on campaigns, programs, and content. You will report to the Sr. Director, Professional Services The impact you will have: - Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission - Collaborate with the sales counterpart and engages early in the sales process to seek to understand our customer's needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions - Identify opportunities for new services by understanding and addressing potential new use-cases and the ability to articulate the business value in the upsell, or extension of services - Develop commercial models including leveraging Databricks and Partner investment vehicles to help address our customer budgetary constraints for success. - Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs. - Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer - Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary - Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations What we look for: - Data and AI domain knowledge and experience working with customers to realise business value through to production implementations - Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution - Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally - Consistent track record of identifying customer needs and successfully implementing solutions - Demonstrate strong leadership experience, the ability to enforce good project governance and drive delivery excellence - Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes - Proven experience in estimating effort and scope for services - Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue. - Outstanding communication and customer relationship 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.
Sr. Emerging Enterprise Core Account Executive
SLSQ327R795 As part of our accelerating APJ growth, Databricks is looking for a dynamic Sr. Emerging Enterprise Core Account Executive to join our rapidly growing team. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business in the Philippines. The role is based in Singapore. Reporting to the Senior Manager for Digital Native Business (DNB), as a Sr. Emerging Enterprise Core Account Executive at Databricks, you come with relevant experience selling to Commercial/Mid-Market accounts. As a successful candidate, you are a self-starter who understands the sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to grow existing accounts in ASEAN market. The impact you will have: - Assess your accounts and develop a strategy to identify and engage all buying centers - Use a solution-based approach to selling and creating value for existing accounts - Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle - Identify and close quick wins while managing longer, complex sales cycles - Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce - Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact - Orchestrate and work with teams to maximise the impact on your ecosystem - Build value with all engagements to promote successful negotiations to close point - Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform What we look for: - 3+ years of Startup/ Emerging Enterprise Sales experience exceeding quotas, covering Philippines/ SEA accounts or territory - Experience in working in a consumption-based sales motion - Strong closing experience and evidence of exceeding sales quota - Ability to navigate and be successful in a fast-growing organization - Sales experience within Cloud software, open source technology, or ideally Data and AI space - Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams in the GCR market - Methods for co-developing business cases and gaining support from C-level Executives - Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling) - Simply articulate intricate cloud technologies - Bachelor's Degree or equivalent experience 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.
Sr. Director, Procure to Pay
GAQ327R229 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Senior Director of Procure to Pay (P2P) is a senior operational and strategic leader responsible for owning the global P2P engine — spanning procurement operations, third party risk and onboarding, accounts payable, financial controls, and the systems and automation infrastructure that tie them together. This role will transform P2P from a transactional function into a scalable, intelligent operating model: automating end-to-end workflows from intake through payment, deploying AI-driven orchestration for approvals and exception handling, and establishing real-time spend visibility and controls across all third-party spend. The impact you will have: P2P Strategy & Operating Model - Define and execute the global P2P strategy, establishing a unified, scalable operating model that spans procurement operations and accounts payable across all geographies and business units. - Build and own the P2P transformation roadmap, prioritizing initiatives across automation, AI-driven workflow orchestration, systems modernization, and process standardization. - Establish a cohesive governance framework covering policy, controls, approval authority, and compliance — ensuring the P2P function operates with financial rigor and audit readiness at all times. - Serve as the executive voice of the P2P function, translating operational performance into clear narratives and strategic recommendations for CFO and cross-functional leadership. End-to-End P2P Automation (Intake → Payment) - Own the full automation agenda across the procure-to-pay lifecycle — from intake and requisition through purchase order issuance, goods receipt, invoice processing, and supplier payment. - Lead the design, deployment, and continuous optimization of automated workflows that eliminate manual effort, reduce cycle times, and increase throughput without adding headcount. - Partner with Finance Technology and IT to evaluate, implement, and integrate P2P platforms, ERP modules, and point solutions that support the automation roadmap (e.g., Zip, Coupa, Ariba, SAP, Zip, Tipalti, or similar). - Drive catalog expansion, guided buying adoption, and touchless PO rates to minimize off-contract and non-PO spend. AI-Driven Workflow Orchestration - Champion the deployment of AI and machine learning capabilities within the P2P stack — including intelligent routing, automated approvals, exception identification, and anomaly detection. - Define use cases and success metrics for AI-driven automation across requisition intake, invoice matching, approval escalation, and payment risk scoring. - Partner with data and engineering teams to build AI-powered workflows that continuously learn from transaction data and reduce manual exception handling over time. - Ensure all AI-driven processes maintain appropriate human oversight, audit trails, and compliance controls. Real-Time Spend Visibility & Financial Controls - Build and maintain a real-time spend management framework — providing leadership with current, accurate, and actionable visibility into committed spend, open obligations, and payment flows. - Design and enforce financial controls across the P2P lifecycle, including three-way match, delegation of authority, supplier payment terms, and duplicate payment prevention. - Own P2P compliance and risk management, including internal audit readiness, SOX-related controls where applicable, and supplier fraud prevention. - Partner with FP&A and Accounting to ensure P2P data flows accurately support budgeting, accruals, and month-end close processes. - Establish KPI dashboards and reporting cadences covering PO compliance, invoice cycle time, touchless rate, on-time payment, and supplier satisfaction. Global Process Standardization at Scale - Lead the standardization of P2P processes across all global regions — eliminating fragmentation, localizing where legally required, and creating a single, consistent operating standard. - Build and maintain a global P2P playbook: documented SOPs, workflow diagrams, training materials, and control frameworks that scale across geographies and teams. - Partner with regional finance, legal, and compliance teams to ensure global P2P processes adhere to local regulatory requirements, tax obligations, and supplier payment regulations. - Drive change management and adoption programs to embed new processes and systems across a distributed global workforce. Team Leadership & Organizational Development - - Lead and develop a high-performing global P2P team spanning procurement operations and accounts payable — setting clear expectations, developing talent, and building a culture of ownership and continuous improvement. - Define the optimal team structure and operating model as the business scales, including decisions around insourcing, outsourcing, and shared services. - Build strong cross-functional relationships with Strategic Sourcing, Legal, IT, Finance, and business unit leaders to ensure P2P is a trusted, enabling function — not a bottleneck. - Attract, retain, and develop top operational talent with deep P2P expertise and a growth mindset. What we look for: Required - 15+ years of progressive experience in procure-to-pay, procurement operations, or shared services, with at least 3–5 years in a senior leadership role. - Proven track record designing and executing P2P transformation programs — including automation implementation, system rollouts, and operating model redesign — at global scale. - Deep functional expertise across both procurement operations (requisition, PO management, supplier onboarding) and accounts payable (invoice processing, payment, reconciliation). - Hands-on experience with enterprise P2P platforms and ERP systems (Zip, Coupa, Ariba, Concur, Emburse, Ramp, SAP, Oracle, or equivalent). - Strong command of financial controls, compliance frameworks, and audit requirements relevant to third-party spend and AP operations. - Demonstrated ability to lead and develop global, distributed teams across multiple time zones and cultures. - Exceptional executive communication skills — able to translate operational complexity into clear strategy and crisp reporting for senior leadership. - Bachelor’s degree in Finance, Business, Supply Chain, or a related field. Preferred - Experience deploying AI, machine learning, or intelligent automation capabilities within a P2P or finance operations context. - Familiarity with SOX controls, internal audit processes, and risk frameworks as they apply to AP and procurement. - Background in high-growth technology or software companies where speed, scale, and financial discipline are equally prioritized. - Experience leading shared services or business process outsourcing (BPO) transitions. - MBA or advanced degree; CPSM, CPM, or AP/finance certification a plus. 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 $237,600 - $326,700 USD Zone 2 Pay Range $213,800 - $294,050 USD Zone 3 Pay Range $202,000 - $277,750 USD Zone 4 Pay Range $190,100 - $261,350 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.
Sr. Director, Enterprise - Retail Vertical - Strat...
SLSQ327R394 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (East Coast) will be considered. - Remote - NYC - Remote - NJ - Remote - Atlanta - Remote - Boston - Remote - Chicago We are looking for a Sales Director to join our growing business. You will lead an existing team of Strategic Enterprise Account Executives and you will be measured by achieving your team’s overall quota and growing Databricks usage. This is a team of Strategic Account Executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President. The impact you will have: - Lead, grow and inspire the Strategic Enterprise Account Executives to help them overachieve on their goals and objectives. - Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes. - Develop trust-based relationships with customers and partners to ensure long-term success. - Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions. - Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business. What we look for: - You live the Databricks’ core values and instill them in the team you are leading. - You will have 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces. - History of exceeding quota and thriving in hyper-growth Enterprise technology companies. - Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message. - Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success. - Strong Retail industry experience is preferred - With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical. 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 $440,000 - $605,000 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.
Sr. Developer Advocate - Neon
RDQ427R269 Are you a passionate Developer Advocate at heart? Someone who loves bringing the community together, hosting and speaking at events, and diving deep into application development and developer experience? As a Databricks Developer Advocate on the Neon DevRel team, you’ll serve as a key link between our engineering teams and the growing community of application and agent developers building on Postgres and Neon. You’ll use your technical expertise to help maintain and extend our SDKs, educate and inspire our users, and shape the future of Agent and Developer Experience (AX & DX) for Neon. Developer experience will be at the core of your role. You’ll help maintain our TypeScript SDK and CLI, Neon’s MCP server, and other developer-facing tools — with a strong focus on staying ahead of the AI curve. You’ll share your expertise in DevTools and AX through talks, meetups, blog posts, videos, and community engagement. Your work will empower both agents and developers to build more effectively with Neon, while showcasing our commitment to world-class DX and AX. You’ll collaborate closely with the neon.com community, as well as product and engineering teams, ensuring developer feedback directly informs product direction. You’ll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to deliver a cohesive and impactful agent experience strategy. The ideal candidate embodies the values of our DevRel team: deep passion for application development, strong empathy for developer needs, and the ability to communicate complex ideas clearly and effectively. In this role, you’ll educate and grow the Neon community through high-quality technical content and hands-on experiences — while continuously feeding insights back into the product to elevate the developer experience even further. More about the Neon DevRel team Neon is Databricks’ product-led growth Serverless Postgres and BaaS platform, built with the vision of helping developers ship faster. Delivering on this mission depends on building trust and recognition within a growing community of application developers, while also serving the broader Databricks user base. The neon.com DevRel team at Databricks is focused on building and strengthening relationships with agent and application developers, while also expanding its reach into areas like code generation and AI-driven development. Our primary goal is to drive awareness, enablement, and driving community of the neon.com platform through a product-led growth motion. The impact you will have - Enhance and develop customer-facing SDKs & libraries to empower builders to succeed with Neon - Create developer-focused content that helps Neon users discover new features, solve real problems, and grow their skills on the platform. - Drive adoption and excitement not just by speaking at events, but by engaging with the community, building connections, and strengthening a shared sense of belonging. - Produce educational and community-focused assets: videos, tutorials, sample projects, blog posts, and resources driven by community feedback and questions. - Expand and engage the Neon community through conference presence and online spaces (e.g., Discord). - Collaborate with product and engineering to surface insights from the community and ensure developer needs influence roadmap decisions. - Create and manage programs that deepen engagement, such as creator and ambassador initiatives, open source collaborations, and other developer-focused movements. - Actively gather, analyze, and amplify community feedback to continuously improve Neon’s product experience and developer journey. What we look for - 5+ years of experience as a Developer Advocate, software engineer, solutions architect, or a related role. - Proven ability to take ownership of outcomes and deliver with minimal supervision. - Professional experience building and shipping software or data solutions. - Demonstrated skill in creating impactful technical content tailored to developers. - Deep empathy for developer needs, with the ability to provide clear answers in community spaces. - Mastery in at least one core advocacy skill (e.g., public speaking, technical writing, live demos, curriculum development). - Applied expertise in specific product components, with the ability to translate them into practical guidance. - Exceptional written and verbal communication skills, including strong presentation abilities. - Track record of active involvement in developer communities (meetups, forums, open source, user groups) and success collaborating across functions to achieve shared goals. 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 $149,200 - $205,150 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.
Sr. Designated Support Engineer, Apache Spark™
P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience. The Impact You Will Have - Manage large strategic accounts to provide a high-touch support experience. - Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks. - Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg). - Project manage all open support cases to expedite support ticket closure. - Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution. - Directly engage on business-impacting situations and ensure recovery of functionality for the customer. - Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues. - Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems. - Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities. - Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders. - Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools. What We Look For - Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines. - Minimum 3 years’ experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required. - Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine). - Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins. - Highly effective with project managing multiple tasks and work streams, driving them to conclusion. - Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment. - Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders - Preference for customer-facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas 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.
Sr. Delivery Solutions Architect - AI Native
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 into one of our largest AI native 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 account 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 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 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 $219,100 - $301,300 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.
Sr. Delivery Solutions Architect
CSQ327R19 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 Sr. 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: - 15+ 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 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.
Sr. Delivery Solutions Architect
CSQ326R424 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: - 10+ 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 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.
Sr. Delivery Partner Manager, FDE
CSQ427R47 At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future of big data and the machine learning landscape for leading Fortune 500 organizations. Forward Deployed Engineering (FDE) Delivery Partner Manager supports the mission of the FDE team, which is to accelerate and de-risk our customers' business outcomes through effective enablement and delivery of Databricks platform technology. This is an individual contributor role that will oversee the Databricks Delivery Partner Program which looks to use close partnerships with key system integrators to effectively co-deliver Databricks services engagements. The impact you will have: - You will work with the FDE team in order to use Databricks delivery partners to accelerate our customer project outcomes . - Build and develop FDE relationships with Global System Integrators (GSIs), Regional System Integrators (RSIs), regional Partner team to support bi-directional pipeline review and bi-directional engagements (subcontracting, and advisory) for company priorities. - Build a RFP process to support Partner Selection for large complex multi year, multi phase migration deals. Create templates, scorecards to supplement partner selection with a data driven approach. - Spearhead and lead efforts to incubate and ramp new partners with Gen AI capabilities. - Drive MBRs and QBRs with priority partners , and develop long term roadmaps for PS Partner delivery priorities. Develop scorecards and feedback loops to segment partners by focus areas, regions and company priorities. - Drive delivery governance to ensure partner quality and delivery on Services led and partner supported implementations. Support global programs to measure partner quality such as CSAT, Partner Survey and program governance. - Lead programs that align with our FDE & Partner strategy for Assurance and advisory services. Work with our cross-functional channel teams to enable GSIs, RSIs, SIs on Assurance services, and support bi-weekly reviews and deal governance - Support Partner IP efforts such as the creation of service delivery kits to better scale our ecosystem. - Liaison with Delivery Partner organizations to ensure personnel have the required level of training and certification in order to achieve Databricks projects following best practices. Champion and provide thought leadership for specialization programs. You will implement and lead programs for achieving requirements and exceeding delivery quality. - Build and maintain an effective onboarding process for partner resources ensuring effective utilization and quality of services across Databricks customer deliveries. - Work with the Databricks resource management team to oversee the pipeline planning process with each of the delivery partners, ensuring partner resource availability in a timely manner to support Databricks services opportunities. - Allocation and outsourcing of Projects to Services partners. This includes selecting the appropriate partner for the project and working with the partner closely to ensure project success. - Work with our legal, people operations and other cross functional organization to support bi directional contractual negotiations - Advocate for the Partner's needs internally; managing any escalations and issues on projects being delivered by partners. - Develop, implement, and monitor Key Performance Indicators for each Services partner. - Coach, Mentor junior members of the team, and partner resource What we look for: - Extensive industry experience including resource management and demand pipeline management and record of success in navigating and driving engagements with large enterprise organizations with a focus on FDE - Extensive experience within a FDE or consulting organization as a partner Manager, and/or Consulting Manager. - Experience managing partner or third-party organization enablement including upskilling teams to provide delivery capabilities. - Excel at working directly with Partners and customers to gather, prioritize, plan and execute solutions to customer business requirements as they relate to technology. - Experience managing commercial agreements with partners including statements of works to support services management. 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 $156,000 - $214,500 USD Zone 2 Pay Range $140,400 - $193,050 USD Zone 3 Pay Range $132,600 - $182,400 USD Zone 4 Pay Range $124,800 - $171,600 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.
Sr. Counsel, Regulatory
GAQ227R179 Location: We're looking to hire for this role locally to our offices based in Washington D.C., Bellevue, or Seattle. This will be a hybrid role with in-office expectations. Databricks is looking for a talented Senior Counsel, Regulatory to join our expanding Legal team to lead our response to the rapidly evolving global regulatory landscape. This position will sit on our Corporate Legal team and is a unique opportunity to build and own a new, cross-functional regulatory practice while providing business-focused legal advice to stakeholders throughout Databricks on a daily basis. The global regulatory environment has expanded outside of privacy and trade compliance with a wave of complex directives emerging across the US, EU, UK, Australia and other jurisdictions. You will serve as our primary internal subject matter expert on regulatory matters outside of privacy and export controls—orchestrating advice and contributions across Engineering, Product, Security, Commercial Legal, Product Legal, GTM Legal, Corporate Operations, and Finance. You will be agile, highly organized, and have the skills, drive, and flexibility to support and accelerate a leading technology company, addressing cutting-edge legal issues and organizational challenges. A successful candidate will be a resourceful self-starter, comfortable working in a fast-paced and dynamic environment, and excellent at building strong relationships. What you’ll do: - Serve as the primary internal subject matter expert on emerging global regulatory frameworks outside of privacy and export controls—including DORA, NIS-2, CSR, EU Data Act, EU AI Act, CRA, DMA, and DSA—as well as various global antitrust and competition regimes and payments regulation - Lead and drive the strategic implementation of these complex legislative requirements, taking ownership of the centralized regulatory roadmap, triage process, and incident response playbooks - Partner cross-functionally to embed regulatory compliance by design into the architecture of the Data Intelligence Platform, Lakehouse, and agentic AI workflows, providing early visibility into regulatory blocker issues before they derail product launches or customer deployments - Partner closely with Product Legal, Commercial Legal and GTM Legal to unblock high-stakes enterprise deals and partnerships, draft specialized negotiation fallbacks, and build scalable, customer-facing collateral to accelerate the sales cycle - Act as the empowered regulatory point of contact on customer calls for white-glove and highly regulated customers (e.g., financial services and public sector), making decisions and proactively implementing new playbook fallbacks to maintain deal velocity - Work directly with Corporate Operations to operationalize regulatory compliance controls, bridging the gap between legal advice and business execution - Support strategic international expansion efforts, including navigating local AI and data regulations proactively and future-proofing for EU data sovereignty - Stay current on relevant legal developments and industry trends to offer proactive advice, training, and support to the business, while leading OKRs to continuously improve and scale processes related to regulatory compliance - Build strong relationships with internal stakeholders across multiple geographical locations to ensure effective communication and collaboration What we look for: - At least 8 years of experience at a nationally recognized law firm and / or in-house legal department, with substantial focus on technology, data, or regulatory matters - J.D. from a top-tier law school - Member of a state bar in good standing for U.S. candidates - You have demonstrated experience advising on global data, digital, and / or technology regulation; familiarity with frameworks such as the EU AI Act, EU Data Act, DORA, NIS-2, the DSA, or the DMA, or analogous regimes, is strongly preferred - You have experience supporting SaaS, cloud, or data-platform products, and comfort partnering directly with Engineering, Product, and Security teams to operationalize regulatory requirements - You have experience supporting commercial and go-to-market teams in customer-facing negotiations, including with enterprise customers in highly regulated sectors - You are able to understand challenging and novel issues, assess risk, and provide concise, actionable, business-focused legal advice and counsel - You can build strong and deep working relationships with internal stakeholders over multiple geographical locations - You can coordinate, prioritize, and manage deadlines, workflow, and execute in a fast-paced and demanding work environment - You are a self-starter with the capability to operate independently and to interact confidently with senior management when required - You have a strong work ethic, excellent organizational skills, and can manage many cross-functional projects simultaneously with minimal supervision 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 $197,800 - $272,050 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.
Sr. Counsel, Product
GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks’ engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI. This role will report to the Assistant General Counsel, Product. The impact you will have: - Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly. - Exercise keen business and legal judgment. You know when to say “yes”, “no, unless …”, and “no”, but you also know when to escalate concerns. - Contribute to developing processes to improve our product counseling function. - Provide end-to-end product counseling - from ideation to end of life. - Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users. - Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market. - Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues. - Deeply understand product and data risk issues to be able to hear and answer questions that aren’t asked and translate technical and security concerns into answers understandable to non-technical lawyers. - Assist your product stakeholders in developing process improvements. - Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs. - Provide general legal support on a flexible, as-needed basis with respect to other areas of the business. - Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate. - Advise on cybersecurity issues as a member of incident response teams. - Contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company. What we look for: - 6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law - Experience with AI, FedRAMP requirements, or payments a plus - Experience working for a company offering platform services to business customers is a plus - Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas - Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd - State bar membership required - Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business - Comfortable working with distributed teams - Ability to exercise good judgment in raising issues and when collaborating with others - Outstanding written and verbal communication 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 . Zone 2 Pay Range $219,800 - $302,300 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.
Sr. Counsel, Commercial
GAQ327R204 About the Role Databricks is looking for an experienced attorney to join our Commercial Legal team. This role supports Databricks' sales organization on complex SaaS and other commercial transactions with sophisticated enterprise customers, including customers in regulated industries. You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks' data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders. This position reports to the Senior Director & Associate General Counsel, Commercial. The impact you will have: - Lead complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security, privacy, and AI terms, as well as order forms, statements of work, and related transaction documents - Partner closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution - Advise on issues that arise in enterprise technology transactions, including data privacy, information security, artificial intelligence, intellectual property, and open source software - Help improve templates, fallback positions, guidance, and contracting processes - Provide concise, practical legal advice that balances legal risk with commercial objectives What we look for: - 7+ years of relevant technology transactions experience at a law firm and/or in-house legal department - Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers - Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, AI-related terms, intellectual property, and open source software - Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice - Experience supporting cloud, infrastructure, platform, or other technology companies - Strong communication and prioritization skills, and the ability to manage multiple matters effectively - Experience supporting enterprise customers, including in regulated industries, is preferred - Juris Doctor and active bar membership in good standing in at least one U.S. jurisdiction 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 $219,800 - $302,300 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 $197,800 - $272,050 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 3 Pay Range $186,900 - $256,950 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.
Sr. Corporate Development Associate
RDQ427R274 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. Databricks’ Corporate Development & Ventures team partners with leadership to identify and execute acquisitions and strategic investments to support our corporate and product strategy. The Corporate Development & Ventures Senior Associate will be a critical member of the team, helping to drive end-to-end transactions from sourcing through evaluation and execution. Databricks is among the most active strategic acquirers and investors across enterprise software, having completed 15+ acquisitions and 55+ investments since 2023. The impact you will have: - Help develop M&A and investment strategy: - Identify and qualify high-impact M&A and Databricks Ventures opportunities by partnering with Executive leadership, Product, Engineering, and Partnerships teams. - Conduct strategic evaluations of M&A and investment opportunities; communicate findings in business case memos and executive presentations. - Build and maintain a comprehensive view of competitive and market trends to inform strategic decision-making and keep stakeholders updated on the evolving ecosystem. - Support transactions end-to-end: - Lead cross-functional due diligence processes, working closely with Databricks’ cross-functional deal team during the entire transaction lifecycle. - Be the primary author of executive and Board materials. - Collaborate with our M&A Integration team to drive post-close integration planning (e.g., operational alignment, cross-functional coordination). - Build our Corporate Development function: - Build relationships with investors, investment bankers, founders, and other stakeholders in our ecosystem; run thesis-led outreach to originate opportunities and gather market intel. - Design and implement processes, templates, and tooling to enhance team efficiency and execution. - Help scale our cross-functional M&A processes for larger and more complex acquisitions. What we look for: - Bachelor’s degree required; Computer Science, Engineering, or other STEM fields is a plus. - 2+ years of work experience in product management, investment banking, private equity, management consulting, corporate development, or venture capital; exposure to enterprise software or the data infrastructure sector is a plus. - Strong communication and writing abilities paired with rigorous qualitative and quantitative analytical skills. - Strong judgment, ownership, and cross-functional leadership. - Design to drive deal processes autonomously as the deal lead. 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 $133,600 - $183,700 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.
Sr. Compensation Manager, R&D
GAQ127R143 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role on the Compensation function at Databricks, reporting to the Senior Director of Compensation. This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent. 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 team member with a solid foundation and history of success in doing just that! Scope of the role This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each: - Compensation solutioning for R&D Talent (40%) - Managing Compensation processes through the employee life cycle (30%) - Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%) Requirements We’re looking for someone who has the following muscles: Comp expertise - Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global compensation practices, pay for performance design - Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement - Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector - Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint. Operational and partnership excellence - Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also thinking ahead and anticipating future needs - Operational capability - Ability to connect the dots between systems, players, programs to seamlessly deliver compensation programs/ products - Savvy collaborator - Partner closely with founders and executive leadership to pre-empt, understand and solve business needs. Navigate at times competing priorities and opinions to drive the best outcomes - Trusted advisor - Act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention and M&A scenarios. Support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations. 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 $217,800 - $299,550 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.
Sr. Compensation Manager GTM
(GAQ327R299) Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go To Market) org. This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent. This role reports to the Senior Director of Compensation. 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 team member with a solid foundation and history of success in doing just that! The impact you will have: Scope of the role This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each: - Compensation solutioning for GTM talent (40%) - Managing Compensation processes through the employee life cycle (30%) - Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%) What we look for: We’re looking for someone who has the following strengths: Compensation expertise - Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay for performance design - Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics - Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector - Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint Operational and partnership excellence - Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also to think ahead and anticipate future needs - Operational capability - connect the dots between systems, players, and programs to seamlessly deliver compensation programs/ products - Savvy collaborator - partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes - Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, transfers, and org changes; support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations 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 $217,800 - $299,550 USD Zone 2 Pay Range $196,100 - $269,600 USD Zone 3 Pay Range $185,200 - $254,650 USD Zone 4 Pay Range $174,200 - $239,600 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.
Sr. Alliance Manager
SLSQ227R839 The Team The Partner Development Center (PDC) develops Databricks' C&SI partner ecosystem at scale. We accelerate the growth of Rising 100 and active Bronze partners through structured, high-touch engagement, while driving systematic activation of Bronze partners through AI-powered automation. Rising 100 partners receive business plan-led, white-glove engagement: structured development plans, biweekly cadence, and accountability to measurable GTM milestones. Active Bronze partners are engaged through cohort-based programs designed to build the next generation of high-performing Databricks partners. The Role This India-based Sr. Alliance Manager is the dedicated PDC resource for EMEA and APJ. You will manage approximately 50 Rising 100 C&SI partners across both regions, with additional accountability for Bronze-tier cohort activation. You will own the full partner development lifecycle: joint business plan design and coaching, Bronze-to-Silver progression mechanics, and co-sell coordination with field sales. Daily work involves AEs, Solution Architects, Partner Marketing, Enablement, Legal, and Ops across multiple time zones. This role reflects Databricks' deepening investment in India. As we expand COE partnerships with leading global SIs, this hire is the face of that investment for our EMEA and APJ partner ecosystem. What You'll Do Rising 100 White-Glove Engagement - Build and manage Joint Business Plans (JBPs) with ~50 Rising 100 SI partners: quarterly KPI setting, milestone tracking, and biweekly coaching cadences. - Drive partners against Rising 100 health metrics: sourced MRR trajectory, certification milestones, 90-day pipeline activity, and Partner Value Score (PVS) lift. - Own the opt-in commitment model: partner selection, goal-setting, and entry/exit criteria enforcement within your regional cohort. - Act as the regional escalation point for Rising 100 partners. Track where each partner stands against their next milestone before they ask. Bronze Scale Motion and Cohort Activation - Design and run cohort-based engagement programs for Bronze-tier partners pursuing Silver. Use regional data signals to sequence and prioritize outreach. - Drive partner adoption of milestone-based onboarding: Learning Path completion, Sales Badge attainment, deal registration, and first high-intent lead. - Leverage Salesforce, Outreach, and partner portals to manage engagement at scale. Human touchpoints are allocated based on partner readiness and commercial potential. PDC Operations and Cross-Functional Coordination - Own PDC Office Hours and regional partners@ alias management for EMEA/APJ. - Coordinate co-sell opportunities with field AEs, driving partner-sourced and partner-influenced pipeline with local country sales and alliance leaders. - Work with Ops and Enablement to identify and remove onboarding friction for India-based development center partners navigating Brickbuilder, certification tracks, and deal registration workflows. - Bring the voice of the EMEA/APJ partner ecosystem into PDC program design. Distinguish systemic issues from coaching gaps. What We Look For Non-Negotiable - 8+ years in Partner Sales or Partner Management at a top-tier or high-growth enterprise tech company, with direct, external, partner-facing responsibility. - Demonstrated track record designing partner engagement programs: KPI setting, cohort design, tier progression mechanics, and accountability to business outcomes. - Cloud ecosystem fluency: working experience with at least one hyperscaler partner program (AWS, Azure, or GCP), including tier mechanics, certification tracks, deal registration, and co-sell motions. - Measurable partner outcomes on record: sourced pipeline, certification attainment, tier progression, or equivalent program KPIs. - Ability to operate autonomously across global time zones with no local PDC team. Strongly Preferred - Direct Databricks ecosystem exposure: Brickbuilder program, Partner Value Score (PVS), Bronze/Silver tier requirements, or Databricks Academy certification tracks. - Experience managing segmented partner populations using data signals to sequence and prioritize outreach across a large cohort. - India-based SI/consulting ecosystem familiarity: how GSIs like TCS, Infosys, Wipro, Persistent, or Nagarro structure their delivery practices, certification investments, and hyperscaler alliance programs. - Proficiency with Salesforce, Outreach, partner portals, and BI or analytics tools (Power BI, Tableau, or equivalent). - Experience facilitating virtual enablement sessions: office hours, 1:few partner workshops, webinars. The Person - Commercial orientation: you read business plans and ask what is actually driving the number. You know when a partnership is performing and when it is coasting. - Connector: you know which conversation to have and who needs to be in the room. You bring field AEs, partner leadership, and Databricks product teams to the same table when it matters. - Truth-seeker: you go to the source. When data and anecdote conflict, you ask why. You surface what is systemic versus what is fixable through coaching. - Partner experience: you think about what this program feels like from the partner's side. Friction in onboarding, slow follow-up, and vague milestone criteria are not small things. - Autonomous operator: you identify what needs to happen, align the right stakeholders, and move. You follow up before being asked. What Success Looks Like in the First 90 Days - Joint Business Plans reviewed and refreshed for all active Rising 100 EMEA/APJ partners. - Regional partner scorecard established: PVS baseline, sourced MRR pipeline, certification count, and deal registration volume per cohort. - Bronze cohort engagement sequence designed and piloted for at least one EMEA segment. - Key cross-functional relationships established with regional field AEs/SAs, local country alliance leaders (including EMEA Alliance team), and Partner Marketing. - PDC Office Hours running on a cadenced schedule for EMEA/APJ time zones. 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.
Sr. AI Engineer - FDE (Forward Deployed Engineer)...
PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The impact you will have: - Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems - Own production rollouts of consumer and internally facing GenAI applications - Serve as a trusted technical advisor to customers across a variety of domains - Present at conferences such as Data + AI Summit , recognized as a thought leader internally and externally - Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: - Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy - Expertise in deploying production-grade GenAI applications, including evaluation and optimizations - Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. - Experience building production-grade machine learning deployments on AWS, Azure, or GCP - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike - Passion for collaboration, life-long learning, and driving business value through AI - [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets - Willing to travel once every 4-8 weeks to see customers (as 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 $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.
Sr. Accounting Manager - Close & Consolidations
GAQ327R178 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Manager, Close & Consolidations, that we’re looking to add to the team will lead Databricks’ global close and consolidation process as we continue to scale. This is a hands-on, builder-oriented role responsible for overseeing the global close process across Finance, driving close discipline and accountability, and executing the global consolidation process. This role will be reporting to the Senior Director of Accounting. Close quality is non-negotiable. Success in this role requires strong operational execution, sound technical accounting judgment, and the ability to maintain a big-picture view across entities, regions, systems, processes, and teams. You’ll provide leadership with clear updates on close status, risks, and delays, ensure issues are escalated and resolved timely, and help design how the close process should operate in the future. You’ll also play a key role in our SAP implementation and help build an offshore operating model that supports scale while maintaining strong review, judgment, and accountability. The impact you will have: - Own and drive the global close process across Finance, including key milestones, dependencies, status updates, risks, delays, and escalations. - Drive AI and automation adoption across the close and consolidation process, including automated intercompany eliminations, AI-assisted consolidation variance analysis, and leveraging Databricks to improve data quality, reduce manual journal entries, and accelerate close cycle times. - Execute and own the global consolidation process across monthly, quarterly, and annual close, ensuring the consolidated books are complete, accurate, timely, and audit-ready. - Lead consolidation-related activities, including allocations, cost plus, eliminations, revaluation, intercompany activity, consolidated trial balance review, hedging and related technical close matters. - Own functional currency assessments for new and existing entities, including evaluating operational impacts of currency designations, monitoring for triggering events that may require reassessment, and ensuring foreign currency translation and revaluation are executed accurately across the global close. - Explain quarterly financial statement fluxes, including key drivers, for Auditors and Accounting/Finance leadership. - Support new entities, acquisitions, and changes in corporate structure by ensuring close, consolidation, intercompany, and reporting impacts are understood and operationalized. - Own chart of accounts structure and governance, ensuring the account structure supports scalable close processes, reporting needs, controls, and future-state operations. - Lead and develop team members; set clear expectations, coach through the work, and raise the bar on ownership, review quality, and timeliness. - Partner with our Transformation team to redesign close processes, reduce manual work, improve data quality, strengthen controls, and accelerate close timing. - Play a key Accounting role in the SAP implementation, including close and consolidation process design, chart of accounts structure, testing, data readiness, cutover, and post-go-live stabilization. - Partner cross-functionally with FP&A, Technical Accounting, Tax, Treasury, Finance Systems, and broader Finance teams to resolve close issues at the source. What we look for: - Experience: 8+ years of progressive accounting experience, including direct ownership of close and consolidation processes across multiple entities, currencies, and regions. - Leadership: 2+ years of people management experience, with a track record of setting high standards, coaching through complex accounting matters, and driving accountability across teams. - Credentials: CPA, SOX experience, and Bachelor's Degree in Accounting or Finance required. - Technical Accounting: Deep U.S. GAAP expertise covering consolidation, intercompany accounting, foreign currency translation and revaluation, allocations, cost plus, eliminations, hedging, and functional currency assessments. - Systems & ERP: Experience operating in a large ERP environment; SAP experience required. Prior ERP implementation experience strongly preferred. Comfort working with large datasets, system reports, reconciliations, and close management tools. - The Automation Mindset: Hands-on experience deploying or evaluating AI tools in a finance or accounting context, with a point of view on where automation creates real leverage in a close and consolidation environment versus where judgment and oversight remain critical. Familiarity with data platforms like Databricks is a strong plus. - Ownership & Mindset: High ownership, low ego, detail-oriented, fast-moving, direct communicator, and calm under pressure. Builder mindset — equally comfortable executing hands-on work and designing scalable future-state processes. - Scale & Agility: High-growth technology company experience strongly preferred. Experience building, managing, or partnering with offshore/shared-services teams is strongly 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 $199,700 - $274,550 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.
Sr. Accounting Manager
GAQ327R177 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Manager, Accounting, that we are looking to add to the team will lead key areas of our global close, including GL, cloud infrastructure spend, accruals, prepaids, fixed assets, cash, leases, and related balance sheet areas. This is a hands-on, player-coach role leading a small team and reporting to the Senior Director of Accounting. Close quality is non-negotiable. Success in this role requires both strong operational execution and sound technical accounting judgment. You'll be expected to apply U.S. GAAP expertise to complex accounting matters, make well-reasoned accounting conclusions, and ensure the team consistently delivers an accurate, audit-ready close. You’ll own a high-quality close today while helping redesign how the close operates tomorrow, partnering closely with the Transformation team and playing a key Accounting role in our SAP implementation. The impact you will have: - Own the monthly, quarterly, and annual close across key global accounting areas, ensuring accuracy, timeliness, and strong control execution. - Lead and develop a small team; set clear expectations, coach through the work, and raise the bar on ownership and review quality. - Lead the adoption of AI and automation across your core close areas leveraging tools like Databricks to automate manual calculations, improve accrual accuracy, accelerate balance sheet reconciliations, and reduce close cycle times - Apply strong U.S. GAAP judgment to complex close areas, especially cloud infrastructure spend, vendor spend, usage-based accruals, capitalization considerations, fixed assets, leases, cash, and other accounting areas - Own balance sheet integrity for your areas, including reconciliations, flux analysis, variance explanations, and support for period-over-period movements. - Standardize and govern global accounting processes across your areas, ensuring consistency across entities and regions. - Partner with our Finance Transformation team to redesign processes, reduce manual work, improve data quality, and accelerate the close. - Strengthen SOX compliance, documentation, reconciliations, journal entries, and accrual support. - Support external audit requests for your areas with timely, well-supported documentation. - Play a key Accounting role in the SAP implementation, partnering on process design, testing, data readiness, cutover, and post-go-live stabilization for your areas. - Partner cross-functionally with FP&A, Procurement, AP, and broader Finance teams to resolve issues at the source. What we look for: - Experience: 8+ years of progressive accounting experience, including close ownership across complex global accounting areas such as GL, accruals, prepaids, fixed assets, cash, and leases. - Leadership: 2+ years of people management experience, with a demonstrated ability to coach and develop others on technical accounting concepts while maintaining a high-quality, efficient close. - Credentials: CPA, SOX experience, and Bachelor's Degree in Accounting or Finance required. - Technical Accounting: Strong U.S. GAAP judgment and critical thinking; you can reason through complex facts, identify risks, challenge assumptions, and know where to dig deeper. - Systems & ERP: Experience with ERP systems; SAP experience preferred. ERP implementation experience is a plus. Familiarity with tools like FloQast, Zip, or Emburse is a plus. - The Automation Mindset: Hands-on experience deploying or evaluating AI tools in a finance or accounting context, with proven ability to improve close processes through automation, process redesign, or stronger operating discipline. Familiarity with data platforms like Databricks is a strong plus. - Ownership & Mindset: High ownership, low ego, detail-oriented, fast-moving, direct communicator, and calm under pressure. Open-minded and change-oriented. - Scale & Agility: High-growth technology company experience strongly preferred. Public accounting background 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 $199,700 - $274,550 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.
Specialist Solutions Architect (Security)
FEQ327R528 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation - Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation - Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures - Improve community adoption (through tutorials, training, hackathons, conference presentations) - Contribute to the Databricks Community and act as a technical SME. What we look for: - Pre-sales or post-sales experience working with external clients across a variety of industry markets - Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) - Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: - Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). - Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability - Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) - Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). - Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections. - Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions - Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration - Production programming experience in one or more of the following languages - Python, Scala, SQL, or R - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience - The role located in Singapore covers the Asean and Greater China Regions, which requires travel up to 30% when needed. - Nice to have: Databricks Certification 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.
Specialist Solutions Architect - Data Warehousing...
FEQ227R119 As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning. The impact you will have: - Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment - Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization - Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production - Provide tutorials and training to improve community adoption (including hackathons and conference presentations) - Contribute to the Databricks Community What we look for: - 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems - Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP - Deep Specialty Expertise in at least one of the following areas: - Experience scaling large analytical data workloads in the cloud that are performant and cost-effective - Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools - Experience migrating on-premise EDW workloads to the public cloud - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience - Production programming experience in SQL and Python, Scala, or Java - Experience with the AWS, Azure, or GCP clouds - 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads) - 2 years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 6 months of hire - 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 $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.
Specialist Solutions Architect - Data Engineering...
FEQ327R455 - DNB FEQ327R257 - Emerging FEQ327R691 - FinS As a Specialist Solutions Architect (SSA) – Data Engineering & Warehousing, you will guide strategic enterprise customers through cloud data engineering transformations across a wide variety of mission-critical use cases. In this customer-facing role, you will collaborate with and support Solutions Architects by leveraging your hands-on production experience with large-scale data engineering and lakehouse architecture. You will help organizations navigate technical evaluations, optimize business intelligence and analytics workloads, and align their technical roadmaps with the Databricks Data Intelligence Platform. Reporting to the Specialist Field Engineering Manager, you will serve as a deep domain expert while continuing to strengthen your technical leadership through mentorship, continuous learning, and specialized training programs. This position can be remote. The impact you will have: - Guide Strategic Implementations : Provide technical leadership to help enterprise customers successfully build, scale, and optimize big data and large-scale data warehousing workloads. - Prove Platform Value : Architect production-ready pipelines and demonstrate the power of the Databricks Data Intelligence Platform through end-to-end performance testing, load testing, and optimization. - Deep Domain Expertise : Build expertise across specialized domains such as data lake architecture, high-velocity streaming, automated ingestion workflows, and data observability. - Support Technical Sales : Partner with Solutions Architects on complex pre-sales engagements, including custom proofs of concept (POCs), workload sizing estimations, and custom architecture designs. - Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community. What we look for: - 5+ years of experience in a technical role with deep expertise across: - Data & Software Engineering: Hands-on experience with streaming technologies (e.g., Spark Streaming, Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads. - Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms. - Data Warehousing & Migration: Experience migrating EDW workloads (e.g., legacy SQL, Redshift, Snowflake, Synapse, EMR) across OLAP/OLTP systems; advanced query tuning, governance, and MPP debugging. - Data Observability & Security: Telemetry, high-velocity log ingestion, anomaly detection, and familiarity with SIEM tools (e.g., Splunk, Elastic, Sentinel). - Deep understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP). - Production-level programming experience in SQL and at least one language among Python, Scala, or Java. [Preferred] Prior experience in a pre-sales or post-sales technical consulting role. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. - Ability to hit role-specific training and technical delivery milestones within the first 6 months. - Willingness to travel up to 30% as 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.
Specialist Solutions Architect - Cloud Platform &...
FEQ327R420 As an Infrastructure & Platform Specialist Solutions Architect (SSA) – Azure, you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on Microsoft Azure. In this customer-facing posi tion, you will partner closely with Solutions Architects to design and deploy mission-critical workloads, aligning customers' technical roadmaps with the full capabilities of the Databricks Data Intelligence Platform. As a subject matter expert reporting to the Specialist Field Engineering Manager, y ou will continuously sharpen your skills through hands-on mentorship, internal training, and continuous learning in Azure cloud infrastructure, network security, and automated deployments. This role can be remote. This role can be remote. The impact you will have: - Technical Leadership: Guide strategic customers through the full lifecycle of Databricks on Azure platform administration from initial architectural design to production deployment. - Production-Grade Architecture: Architect secure, scalable enterprise deployments that satisfy complex Azure networking (VNets, Private Endpoints), identity (Microsoft Entra ID), and security compliance standards. - Domain Expertise: Serve as a subject matter expert in core areas such as Microsoft Azure infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management. - Pre-Sales Collaboration: Support Solutions Architects during complex technical sales cycles by building custom proof-of-concept (PoC) architectures and technical content on Azure. - Community & Knowledge Sharing: Expand platform adoption by delivering tutorials, conducting hackathons, speaking at conferences, and contributing to the Databricks open-source community. What we look for: - 5+ years of hands-on experience in a technical role with deep expertise in Microsoft Azure, including cloud security, networking best practices, and enterprise data platform design. - 2+ years of professional experience with distributed architectures and big data technologies (e.g., Apache Spark™, Hadoop, Kafka). - 2+ years of experience in a customer-facing technical role (Pre-Sales, Post-Sales, or Consulting). - Deep specialized expertise in at least one of the following core domains: - Security & Identit y: Azure security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (Microsoft Entra ID / SCIM, OAuth, SAML, Federation). - Networking & Deployments: Azure enterprise networking (VNet peering, ExpressRoute, Private Link), network routing, performance optimization, and large-scale deployment management. - Platform Administration: High availability, disaster recovery, cluster orchestration, observability (Azure Monitor, Log Analytics), and Azure cost management. - Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g., Terraform, Bicep, ARM) to build, maintain, and scale complex Azure environments. - Hands-on experience with Python, Java, or Scala, alongside strong proficiency in SQL. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience. - [Nice to ha ve] Databricks certifications and/or Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer). - Ability to hit role-specific training and technical delivery milestones within the first 6 months. - Willingness to travel up to 30% as 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.
Specialist Solutions Architect - AI/ML
FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. This is a Hybrid role, based in Mumbai. The impact you will have: - Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. - Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems - Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains - Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks - Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: - 5+ years of hands-on industry ML experience in at least one of the following: - ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. - AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike - Passion for collaboration, life-long learning, and driving business value through ML & AI - [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 3 months of hire - 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.
Specialist Solutions Architect - AI/ML
FEQ327R299 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. This is a Hybrid role, based in Bengaluru. The impact you will have: - Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. - Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems - Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains - Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks - Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: - 5+ years of hands-on industry ML experience in at least one of the following: - ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. - AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike - Passion for collaboration, life-long learning, and driving business value through ML & AI - [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 3 months of hire - 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.
Specialist Solutions Architect - AI/ML
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. This role can be remote. The impact you will have: - Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. - Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems - Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains - Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks - Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: - 5+ years of hands-on industry ML experience in at least one of the following: - ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. - AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike - Passion for collaboration, life-long learning, and driving business value through ML & AI - [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 3 months of hire - 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.
Specialist Solutions Architect
FEQ227R130 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment - Architect production level workloads, including end-to-end pipeline load performance testing and optimisation - Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures - Improve community adoption (through tutorials, training, hackathons, conference presentations) - Contribute to the Databricks Community What we look for: - You will have experience in a customer-facing technical role with expertise in at least one of the following: - Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. - Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning. - Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value. - Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP. - Maintain and extend production data systems to evolve with complex needs. - Production programming experience in Python, R, Scala or Java - Deep Specialty Expertise in at least one of the following areas: - Experience scaling big data workloads that are performant and cost-effective. - Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. - Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. - Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow. - Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) - Native level Korean is required and Business level English is a plus 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.
Solutions Architect - Strat Media
REQ ID FEQ327R527 At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have - Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth - Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics - Serve as a trusted technical advisor to customer architects, engineering leads, and Directors - Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions - Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain - Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs - Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For - 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role - Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills - Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms - Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) - Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis - Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations - Track record of driving platform adoption and consumption growth within accounts - Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences - Ability to travel to customers 30% of the time - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: - Databricks certifications (Data Engineer, ML, Platform) - Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against - Background in a data/AI company or cloud provider - Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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.
Solutions Architect - Strategic AI Natives
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: - You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. - Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications - Collaborate with your fellow Solutions Architects, using your skills to support each other and our users - Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: - 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role - Experience building distributed data systems - Comfortable programming in, and debugging, Python and SQL - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Expertise in one of the following: - Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) - Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow ) - Available to travel to customers in your region - [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) - Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths. 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.
Solutions Architect - Retail, Travel & Hospitality
P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: - You will work with up to 9 clients as the main technical voice for Databricks - You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy - You will implement the technical strategy in the account, in close understanding of the strategy - Build a movement of technical champions within the account - Align technical strategies around Databricks solutions - You will provide structured mentorship for other team members What we look for: - 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space - 3+ years working in a pre sales capacity or supporting sales activity - Technical in big data, data science and cloud - An ability in data-driven business transformation, and driving change with data - 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions - Maintain and extend production data systems to evolve with complex customer needs - Production programming experience in Python, R, Scala or Java - Nice to have: Databricks Certification 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.
Solutions Architect - Real Money Gaming
FEQ327R394 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have - Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth - Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics - Serve as a trusted technical advisor to customer architects, engineering leads, and Directors - Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions - Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain - Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs - Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For - 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role - Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills - Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms - Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) - Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis - Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations - Track record of driving platform adoption and consumption growth within accounts - Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences - Ability to travel to customers 30% of the time - Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: - Databricks certifications (Data Engineer, ML, Platform) - Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against - Background in a data/AI company or cloud provider - Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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.
Solutions Architect - Public Sector (SLED)
FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: - Partner with the sales team to help customers understand how Databricks can help solve their business problems - Provide technical leadership for customers to evaluate and adopt Databricks - Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications - Build and present references architectures, how-tos, and demo applications for customers - Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars - Travel to customers in your region What we look for: - 6+ years in a customer-facing pre-sales, technical architecture, or consulting role - Experience designing and architecting distributed data systems - Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R - Experience supporting Public Sector clients - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) - Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS ) - [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) - US Citizen 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.
Solutions Architect - Public Sector
FEQ427R107 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Delhi. The impact you will have: - You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. - You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. - Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications - Collaborate with your fellow Solutions Architects, using your skills to support each other and our users - Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: - 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role - 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others - Strong consulting / customer facing experience , working with external clients across a variety of industry markets - Coding experience in Python, R, Java, Apache Spark™ or Scala - Experience building distributed data systems - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Available to travel to customers in your region - Nice to have: Databricks Certification 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.
Solutions Architect (Pre-sales) - Retail/CPG
Req ID : FEQ427R293 Location : Tokyo, Japan As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Retail/CPG field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your prospects through evaluating and adopting Databricks - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by leading workshops, seminars and meet-ups - Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: - Pre-sales or post-sales experience working with external clients across a variety of industry markets - Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous - Experience demonstrating technical concepts, including presenting and whiteboarding - Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) - Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. - Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable - Experience working with Enterprise Accounts - Written and verbal fluency in Japanese and English 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.
Solutions Architect (Pre-sales) – Manufacturing &...
Location: Tokyo, Japan Req ID: FEQ327R203 Reporting to: Director, Field Engineering Language requirements: Business-professional Japanese required; business-level English preferred Mission As a Pre-sales Solutions Architect focused on Manufacturing and Automotive, you will engage with leading global automotive manufacturers and strategic industry accounts across Japan. In partnership with Account Executives, Solutions Architects, technology specialists, partners, and customer teams, you will develop and execute technical strategies that help customers adopt the Databricks Data Intelligence Platform and achieve measurable business outcomes. You will translate complex automotive and manufacturing challenges into scalable data and AI solutions across vehicle platforms, connected-vehicle analytics, vehicle and component quality, supply-chain optimization, smart manufacturing, engineering and R&D analytics, aftersales, customer intelligence, and AI-powered applications. You will operate with a builder mindset, creating hands-on prototypes, demonstrations, and proof points that accelerate customer confidence and adoption. The impact you will have - Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects for strategic automotive and manufacturing accounts. - Lead complex customer engagements across the full technical pre-sales lifecycle, including discovery, requirements gathering, solution scoping, architecture design, workshops, demonstrations, proof-of-concepts, and implementation planning. - Coach account teams and peers on positioning, adoption strategies, use-case prioritization, and execution plans that deliver outcomes within a defined timeline. - Influence stakeholders at all levels, from data practitioners and engineers to manufacturing leaders and C-level executives, by connecting technical decisions to business value. - Act as a champion and trusted advisor for customers and colleagues on data, analytics, machine learning, generative AI, architecture, design, and Databricks adoption. - Design and communicate end-to-end solutions using Databricks and public cloud platforms, including AWS, Azure, and GCP. - Build tailored demos, prototypes, reference architectures, migration plans, how-to materials, and other customer-facing assets rather than relying only on standard presentations. - Help automotive and manufacturing customers identify and prioritize high-value use cases across vehicle platforms, connected vehicles, vehicle telemetry, quality and warranty, industrial IoT, smart factories, supply chain, demand forecasting, engineering and R&D, aftersales, and EV or battery analytics. - Integrate Databricks with cloud services, enterprise platforms, and third-party applications to support customer architectures. - Collaborate with Product, Engineering, Services, Customer Success, Partners, Marketing, Sales, and Field Engineering to represent customer needs and accelerate adoption. - Lead workshops, seminars, meetups, and other community activities to build technical awareness and scale best practices in Japan. What we look for - Experience engaging with complex customers and sales lifecycles in a technical pre-sales, consulting, technical architecture, or equivalent role. - A technical background in data engineering, data warehousing, machine learning, artificial intelligence, or related fields. - Experience designing and implementing solutions on public cloud platforms, including AWS, Azure, or GCP. - Hands-on expertise delivering complex proof-of-concepts and technical demonstrations. - Ability to code in Python or SQL and willingness to learn or deepen knowledge of Apache Spark™; experience with Scala, Java, or R is beneficial. - Strong understanding of enterprise data platforms, distributed data systems, analytics, machine learning, generative AI, or modern cloud architectures. - Demonstrated ability to provide technical solutions for specialized customer needs and navigate a competitive landscape. - Ability to influence decision-makers and C-level executives by building relationships and orchestrating cross-functional teams toward long-term customer success. - Builder mindset with a track record of prototyping, creating demos, and crafting tailored solutions for ambiguous or challenging customer environments. - Strong communication, presentation, whiteboarding, and storytelling skills, with the ability to explain complex technical concepts to diverse audiences. - Experience working with enterprise customers and building trusted relationships with technical and business stakeholders. - Strong collaboration skills and the ability to partner effectively with Account Executives, Solutions Architects, specialists, and other cross-functional teams. - Business-professional fluency in Japanese; business-level English proficiency is preferred. Preferred experience - Experience working with leading automotive manufacturers, automotive suppliers, industrial companies, transportation providers, or mobility businesses. - Familiarity with vehicle platforms, connected vehicles, vehicle telemetry, smart factories, industrial IoT, supply-chain analytics, quality and warranty analytics, engineering/R&D, aftersales, EVs, or battery analytics. - Experience with Databricks, Apache Spark™, MLflow, Delta Lake, lakehouse architectures, or comparable data and AI platforms. - Experience coaching or mentoring other technical professionals or account teams. - Databricks or relevant cloud and data certifications. 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.
Solutions Architect (Pre-sales) - Kansai Region
Req ID: FEQ227R81 Location : Osaka, Japan As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your prospects through evaluating and adopting Databricks - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by leading workshops, seminars and meet-ups - Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: - Pre-sales or post-sales experience working with external clients across a variety of industry markets - Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous - Experience demonstrating technical concepts, including presenting and whiteboarding - Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) - Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. - Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable - Experience working with Enterprise Accounts - Written and verbal fluency in Japanese 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.
Solutions Architect (Portuguese Speaking) Madrid S...
FEQ427R336 Solutions Architect (Portuguese Speaking) Madrid Spain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: - Form successful relationships with clients throughout Portugal , providing technical and business value to Databricks customers in collaboration with Account Executives. - Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. - Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in the region by leading workshops, seminars, and meet-ups. - Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: - Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. - Develop customer relationships and build internal partnerships with account executives and teams. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: - Location: Based in the Madrid region (within a commutable distance for a hybrid schedule). - Travel: Flexibility to travel ( up to 50% , primarily for customer meetings in Portugal, events, and trainings). - Languages: Native proficiency in Portuguese along with business fluency in English . Fluency in Spanish is a plus. 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.
Solutions Architect Opportunities - Lakebase (Solu...
SLSQ127R199 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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 $219,100 - $301,300 USD Zone 2 Pay Range $219,100 - $301,300 USD Zone 3 Pay Range $219,100 - $301,300 USD Zone 4 Pay Range $219,100 - $301,300 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.
Solutions Architect - MFG
REQ ID - FEQ327R75 Location: Dallas-Fort Worth, TX | Northeast US Mission We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role. Outcomes - You work with multiple clients as the main technical voice for Databricks. - You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy - You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. - You build a movement of technical champions within the account. - You align technical strategies around Databricks solutions. - You provide structured mentorship for other team members. - Gain your peers' respect through your experience, insight, and contributions. Competencies: - Experience in establishing virtual teams and leading them to ultimate success within the account. - Experience working with very large (> $1m ARR), global accounts. - Experience building relationships with executives and influencers, both internally and with customers. - Present a convincing point of view to important decision-makers that leads them down a path of success. - Technical experience in data engineering, cloud data warehousing, and/or data science - An ability in data-driven business transformation and driving change with data. - Production programming expertise in Python, R, Scala, or Java - Experience practicing live/vibe coding sessions with stakeholders - Nice to have: Databricks Certification 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 $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.
Solutions Architect - Manufacturing
Location: Chicago, IL | Minneapolis, MN While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Central US. Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space Outcomes - You work with multiple clients as the main technical voice for Databricks. - You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy - You implement the technical strategy in the account, in close understanding of the strategy. - You build a movement of technical champions within the account. - You align technical strategies around Databricks solutions. - You provide structured mentorship for other team members. - Gain the respect of your peers based on your experience, insight, and contributions. Competencies: - Proficiency at establishing virtual teams, and leading them to ultimate success within the account. - Experience working very large (> $1m ARR), global accounts. - Form relationships with executives and influencers. - Present a convincing point-of-view to important decision-makers that leads them down a path of success. - Technical in big data, data science and cloud. - An ability in data-driven business transformation, and driving change with data. - Production programming experience in Python, R, Scala or Java - Nice to have: Databricks Certification 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 $139,700 - $247,300 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.
Solutions Architect (Lakebase)
FEQ327R226 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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.
Solutions Architect (Lakebase)
FEQ327R245 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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.
Solutions Architect (Lakebase)
FEQ327R248 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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.
Solutions Architect - Lakebase
The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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.
Solutions Architect - Lakebase
Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. - Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. - Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have - Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. - As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. - Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. - Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams - Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities - 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. - Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. - Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. - Proficient in programming, debugging, and problem-solving using SQL and Python. - Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). - Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. - Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. - A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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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