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Sr. Solutions Architect
Location: Houston, TX While candidates in the listed location are encouraged for this role, candidates in other Texas locations will be considered. REQ ID -FEQ327R52 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 Senior 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. Your work with customers will include partnering with hands-on resources. You will build proof-of-concepts 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 account, with a clear 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 your peers' respect through your experience, insight, and contributions. Competencies: - Proficiency at 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 $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. Solutions Architect
FEQ425R198 Location: Perth At Databricks, our core principles 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 that values innovation and creativity, using your skills to create customized 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: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: - Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. - Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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. Solutions Architect
Locations: NY, NJ, OH, MI, IN REQ ID - FEQ327R608 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 . 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.
Sr. Solutions Architect
FEQ327R87 Location: Melbourne At Databricks, our core principles 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 that values innovation and creativity, using your skills to create customized 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! This is a hybrid role based in Melbourne. The impact you will have: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: - Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. - Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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. Solutions Architect
FEQ227R53 As a Senior 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. 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.
Sr. Solutions Architect
FEQ427R64 Location: Brisbane At Databricks, our core principles 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 that values innovation and creativity, using your skills to create customized 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: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: - Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. - Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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. Solutions Architect
FEQ427R338 At Databricks, our core principles 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 that values innovation and creativity, using your skills to create customized 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: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: - Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. - Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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. Solutions Architect
FEQ327R322 At Databricks, our core principles 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 that values innovation and creativity, using your skills to create customized 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! This is a hybrid role based in Sydney. The impact you will have: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: - Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. - Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. - Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. - Hands-on expertise with complex proofs-of-concept and public cloud platform(s). - Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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 Software Engineer -Public Sector
P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have - Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . - Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds. - Infrastructure at Scale: Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments. - Performance Optimization: Drive "zero-waste" compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud). - Security & Reliability: Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability. What We Look For - Required: Candidates must hold a current TS/SCI clearance (either active or currently held in an editable/re-activatable status within the 2-year window). - Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus. - Technical Breadth: BS/MS/PhD in Computer Science or a related field. - Experience: 6+ years of professional software development experience. - Systems Expertise: Deep understanding of Distributed Systems , concurrency, and performance optimization. - Language Proficiency: Strong production-level experience in at least one of: Java, Scala, Go, or C++ . - Cloud Experience: Experience building and deploying large-scale SaaS or cloud-native applications. 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 $155,900 - $214,400 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 Software Engineer-Networking
(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: - 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language - 4+ years of experience developing large-scale distributed systems from scratch - Experience working on a SaaS platform or with Service-Oriented Architectures. - Extensive experience working on large-scale compute clusters, network connectivity, and automation. 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 $157,000 - $213,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr Software Engineer-Networking
(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges. What we look for: - 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language - 4+ years of experience developing large-scale distributed systems from scratch - Experience working on a SaaS platform or with Service-Oriented Architectures. - Extensive experience working on large-scale compute clusters, network connectivity, and automation. 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 $166,000 - $225,000 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 Software Engineer, Infrastructure
GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have - Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. - Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. - CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. - Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default - Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency - Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes. - Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own. What We Look For - Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable). - IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred) . - Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes , Docker and containerization concepts. - Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms. - CI/CD: Advanced knowledge of Github Actions, Github Runners. - Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK . - Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues. - Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently. 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 $159,900 - $219,900 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr Software Engineer- CXI
P-1640 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI ) , you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. The Impact You Will Have - Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. - Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. - Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. - Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. - Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions. - Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps. - Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. - Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams. What We Look For - BS or higher degree in Computer Science or a related engineering field. - Extensive backend development experience designing, building, and maintaining high-throughput production systems. - Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments. - Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic. - Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation. - Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints. 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 $164,200 - $225,700 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 Software Engineer- Customer Experience Intellig...
P-1651 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As a Sr. Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. The Impact You Will Have: - Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. - Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. - Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. - Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. - Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions. - Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps. - Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. - Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams. What we look for: - BS or higher degree in Computer Science or a related field. - Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s - Extensive full stack development experience - Proven success designing and deploying production-grade automation in complex technical environments - Hands-on experience with ML-assisted systems, decision support, or agentic automation - Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems - Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints. 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 $164,200 - $225,700 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. Software Engineer- Backend
P-1591 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including: The impact you will have: - Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. - Improve reliability, latency, and efficiency of distributed AI workloads - Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences - Shape how developers and data scientists build and interact with AI on Databricks What we look for: 5+ years of experience in backend or infrastructure engineering - Strong programming skills in Scala, Go, or Python - Experience with distributed systems, scalable APIs, or cloud-native infrastructure - Familiarity with service-oriented architecture, deployment pipelines, and system observability - Strong product and ownership mindset — you care about building the right solution, not just any solution Bonus points for: - Experience with real-time serving, ML infrastructure, or GPU orchestration - Exposure to platforms like SageMaker, Vertex AI, or Azure ML - Contributions to OSS projects like MLflow, PyTorch, or Ray - Built developer platforms or internal tools supporting AI workflows 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 $165,300 - $219,675 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. Software Engineer - Backend
P-1343 As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as: - Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. - Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. - Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: - 5+ years of professional software development experience. - Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience. - Proficiency in one or more backend languages such as Java, Scala, or Go. - Hands-on experience in developing and operating large-scale, critical distributed backend systems. - Demonstrated leadership throughout all project phases, from inception and design to implementation and operations. - Self-driven and passionate with a strong focus on delivering impact through team collaboration. - Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making. - Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP. 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 Software Engineer, Agentic Applications
P-1476 Location: Mountain View, CA At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr Software Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. - Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. - Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. - Seamless onboarding and management for all members of an organization to become data-driven. - Provide a great SQL-centric data exploration and dashboarding experience on Databricks - An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: - 5+ years of experience with HTML, CSS, and JavaScript - Experience leading large multi-quarter efforts with a demonstrated customer or business impact - Passion for user experience and design and an understanding of front-end architecture - Comfortable working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value - Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) - Familiarity with server-side web technologies is a plus - Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability - Experience building large-scale products 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 $192,000 - $260,000 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 Security Engineer, Incident Response
RDQ326R15 The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics. You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks. The impact you will have: - You will respond to incidents as part of a distributed 24x7 operations and on-call schedule. - You will triage and respond to security events and alerts, ensuring quick and effective containment. - You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events. - You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team. - You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews. What we look for: - Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience. - Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others. - Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting. - Broad security subject matter expertise. - Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.). - Experience with Enterprise Security and SaaS applications. - Working knowledge of a SIEM and SOAR. - Experience building Incident Response Tooling and scripting language skills. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr SAP Developer
GAQ126R44 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for a SAP Developer to build the applications, extensions, and integrations that bring this vision to life. In this role, you'll write clean-core extensions on SAP BTP, build full-stack apps and Fiori experiences, wire up integrations between SAP and the Databricks Data Intelligence Platform, and help embed AI and agentic capabilities directly into finance workflows. You'll work at the intersection of SAP and AI—shipping software that makes finance operations faster, smarter, and more automated. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As an SAP Developer, you'll be hands-on-keyboard building the layer that makes those processes intelligent: side-by-side extensions on BTP, event-driven integrations into the Lakehouse, and AI-assisted workflows that automate routine work and guide users through exceptions and approvals. You'll build with modern SAP and Databricks AI tooling—combining SAP’s core ERP capabilities with Databricks-native AI, agentic applications, and automation—while keeping the SAP digital core clean, scalable, and upgradable. Your mission is to turn designs into robust, production-grade software that combines the strength of SAP with the power of Databricks AI. What You'll Do - Build Clean-Core Extensions: Develop in-app and side-by-side extensions on SAP BTP that keep the S/4HANA digital core clean and upgrade-ready, using released APIs and extension points rather than core modifications. - Develop Databricks-Native Applications: Build scalable, full-stack applications and services on the Databricks platform that extend and integrate with SAP, leveraging Databricks-native capabilities, APIs, data services, and AI/agentic tooling to deliver modern Finance experiences while keeping the SAP core clean. - Build Integrations: Implement secure, resilient integrations across SAP and non-SAP systems using SAP Integration Suite, event-driven patterns, APIs, OData v4, and change-data feeds into the Databricks Lakehouse, with solid error handling and monitoring. - Embed AI & Agentic Capabilities: Build AI-powered and agentic capabilities into Finance workflows using Databricks AI, integrating seamlessly with SAP and other enterprise systems. Apply RAG, prompt engineering, tool calling, and human-in-the-loop controls to automate processes safely while maintaining governance and auditability - Move SAP Data to the Lakehouse: Partner with data engineering to build the pipelines and extraction patterns (CDC, OData, APIs) that land SAP data in Databricks cleanly, with attention to modeling, lineage, and data quality. - Engineer for Quality: Write unit and integration tests, work within CI/CD and transport pipelines for ABAP and BTP artifacts, participate in code reviews, and follow the team's security and coding standards. - Collaborate: Work closely with the technical lead, functional experts, and product owners to turn requirements and designs into working software, and iterate quickly based on user feedback. What You Bring - 6+ years of SAP development experience , with hands-on delivery of at least one end-to-end SAP solution (an S/4HANA extension, a CAP or RAP app on BTP with Fiori, or an Integration Suite flow) in production. - Modern ABAP: Strong command of ABAP Cloud, ABAP CDS, and the ABAP RESTful Application Programming Model (RAP), plus OData (v2/v4). - SAP BTP: Working-to-advanced experience with BTP runtimes, core services (Connectivity, Destination, XSUAA/auth), and deploying, securing, and operating apps on the platform. - Front End: Solid experience with SAP Fiori concepts, SAPUI5, and Fiori Elements (OData v4). - Integration: Experience with SAP Integration Suite / API Management and event-driven patterns (OData/REST, IDoc, Cloud Integration, Event Mesh) across hybrid landscapes. - AI Fluency: Strong understanding of SAP and Databricks AI capabilities, with practical knowledge of generative AI and agentic concepts—including RAG, prompt engineering, grounding, tool calling, and enterprise AI governance. Hands-on experience building AI-powered applications and workflows on Databricks and integrating them with SAP is a strong plus. - Engineering Practice: Comfort with Git, CI/CD pipelines, automated testing, and modern dev tooling (VS Code, ABAP Development Tools in Eclipse, MTA/CF packaging). - Clean-Core Mindset: Understanding of clean-core principles and why extensions belong side-by-side or in-app rather than in the digital core. - Collaboration: Clear communicator who can work across functional, product, and engineering teams and take ownership of what they ship. Preferred Qualifications - Domain knowledge in finance, procurement, or supply chain that speeds delivery and requirements understanding. - Experience extending or customizing Joule agents via SAP Build / Joule Studio, or building agents on SAP AI Foundation. - Experience building applications on modern data platforms (such as Databricks) that extend or sit alongside SAP. - Cloud-native experience—containerization and Kubernetes (Kyma), observability, and scalability patterns. - SAP certification in ABAP, SAP BTP, or SAP Build, and prior work in a high-growth technology company. 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. Recruiter, GTM – Field Engineering (Contract)
Note: This is a 12-month contractor role. Mission We're looking for a Senior Recruiter to be the driving force behind hiring the technical talent that powers our go-to-market engine across India — Solutions Architects, Forward Deployed Engineers, and the broader Field Engineering org. These are the people who sit shoulder-to-shoulder with our customers, turn the world's hardest data and AI problems into production reality, and make Databricks impossible to compete against. Your job is to find them, win them, and close them. This is an exciting time to be part of the rocketship and the Databricks expansion in India. We're scaling fast, the bar is high, and the demand for elite technical pre-sales and field talent has never been more intense. You'll own full-cycle hiring for some of the most sought-after profiles in the market, partnering directly with Field Engineering leadership to build teams that don't yet exist. Recruiters at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. If you thrive in ambiguity, move fast, and get energy from building in a high-growth, high-pressure environment, read on. The impact you will have - Own full-cycle recruiting for technical GTM roles across India — Solutions Architects, Forward Deployed Engineers, and Field Engineering leadership — from first outreach to close. - Partner with Field Engineering and Sales leaders as a true strategic advisor on sourcing strategy, market mapping, competitive intelligence, comp positioning, and talent insights. - Activate and engage passive, hard-to-reach technical talent — the builders and problem-solvers who aren't actively looking but are exactly who we need. - Build and sustain engaged talent pipelines that can keep pace with aggressive hiring goals and our continued APJ expansion. - Create closing strategies that win against the most competitive offers in the market and manage stakeholder expectations with data. - Use data to set benchmarks and metrics, drive workforce planning, and continuously sharpen our hiring process as we scale. - Champion a world-class candidate experience and act as a brand ambassador for Databricks at every touchpoint. - Play a key role in building a diverse, inclusive, and exceptionally high-caliber workforce. What we look for - Proven experience recruiting within the software / Data / AI industry, ideally for technical GTM, pre-sales, Solutions Architecture, or Field Engineering profiles. - A track record of scaling teams at a high-growth company — you know what it takes to hire fast without dropping the bar. - High energy, grit, and a relentless work ethic — you get stuff done and you don't wait to be told how. - An "AI builder" mindset: genuinely curious about the technology, hands-on with new tools, and able to speak credibly to deeply technical candidates. - Comfort with chaos — you stay calm, prioritize ruthlessly, and thrive when the goalposts move and the pressure is on. - The ability to build strategic partnerships across the business and influence senior stakeholders with data and conviction. - A creative, resourceful approach to sourcing — you don't rely on the obvious channels and you love finding talent others can't. - Strong ownership and a bias for action; you treat your reqs like they're your own business. 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. Program Manager, Data for Good
RDQ427R179 Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action? As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges. You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters. About Databricks for Good At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action. This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact. What you’ll do Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. - Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision. - Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs. - Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums. - Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges. - Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good. - Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities. - Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations. - Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction. The impact you will have - Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry. - Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI. - Build durable partnerships that align Databricks’ strengths with real-world societal needs. - Inspire employees, customers, and students to contribute their skills toward meaningful causes. - Influence how Databricks technologies are used, taught, and evolved for public good. - Help define what “data and AI for good” looks like at enterprise scale. What we look for - 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field. - Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes. - Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations. - High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection. - Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences. - Demonstrated ability to convene communities and stakeholders across sectors and geographies. - High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum. - A collaborative mindset and a track record of working cross-functionally to turn ideas into execution. 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 $121,500 - $167,100 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 $109,400 - $150,350 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. Program Lead, Accenture Business Group
FEQ327R143 The Sr. Program Lead will lead the Accenture Databricks Business Group (ADBG) and build the operating model that powers one of Databricks’ most strategic global partnerships. In this role, you will own the governance, portfolio management, and execution cadence for the ADBG, while also overseeing a focused strategic investment program that accelerates joint innovation with Accenture. As the Sr. Program Manager and Program Lead of ADBG, your primary mission is to design, launch, and scale the global operating framework that ensures Databricks and Accenture execute consistently, predictably, and with clear accountability across all joint initiatives. As a key extension of this mission, you will also define and manage a targeted partner innovation investment program that is fully integrated into the governance, ensuring that all investments are strategically aligned, operationally sound, and measurable for impact. The impact you will have: - Establish, operationalize, and programmatize the Accenture BG, including governance structures, operating cadence, and delivery standards for all joint Databricks–Accenture initiatives. - Maintain an end-to-end, integrated portfolio view covering pipeline, active programs, dependencies, financial performance, delivery health, and risks. - Lead executive and operational cadences (QBRs, steering committees, exec reviews) to drive decisions, resolve escalations, and ensure alignment across Databricks and Accenture stakeholders. - Develop and maintain KPI dashboards and reporting that provide clear visibility into revenue, utilization, program status, delivery quality, and customer outcomes. - Define and roll out standardized tools, templates, and best practices for planning, tracking, governance, and reporting, enabling consistent, scalable execution across regions and industries. - Work cross-functionally (C&SI, ISV Ecosystem, GTM Strategy & Ops, Business Strategy & Ops, Industry, Legal, Finance, Product) to define a clear strategic investment framework that dovetails with PMO governance, including pillars, guardrails, and decision criteria. - Ensure that all investments are: - - Aligned with Databricks’ evolving strategic goals and the broader Accenture BG portfolio. - Structured with clear milestones, owners, and success metrics that plug into PMO tracking and reporting. - Operationalized through existing PMO processes so execution, risk, and outcomes are managed consistently. - Fully auditable, with documented decisions and consolidated reporting via PMO dashboards. - Partner with Accenture leadership and field teams to source, qualify, and shape investment opportunities, using standardized proposal formats that enable apples-to-apples evaluation by Databricks leadership. What we look for: We look for an experienced program management leader who is also a strategic builder: someone who anchors on operational excellence but is energized by shaping new, high-impact investment mechanisms within that structure. You are comfortable leading through influence across Databricks and Accenture, and you are motivated by building a foundational, scalable operating engine for one of Databricks’ most important partnerships. - Strong PMO and portfolio management leadership skills, with a track record of establishing governance and operating models in complex, multi-stakeholder environments. - Highly effective at building and leading cross-functional virtual teams across GTM, Finance, Product, Legal, and Partner organizations. - Exceptional ability to design and orchestrate processes, drive consensus across organizations, and resolve impasses while keeping execution on track. - Skilled negotiator with experience structuring and closing binding partner agreements that align strategic goals, risk, and return. - Strategic, analytical mindset with a strong bias for action; able to move quickly while maintaining rigor, transparency, and auditability. - 15+ years of experience in program/portfolio management, partner operations, or strategic investments in hyper-growth or large-scale technology environments. - Demonstrated success standing up and leading PMO or portfolio functions for complex, global, multi-stakeholder initiatives. - Proven track record forming and leading cross-functional v-teams (GTM, Finance, Product, ISV/partner, Legal, Operations). - Experience negotiating and closing binding contracts with partners, including GSIs, RSIs, and ISVs. - Strong technical understanding of the Databricks product portfolio and modern cloud/data architectures. 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 $181,100 - $249,050 USD Zone 2 Pay Range $163,000 - $224,200 USD Zone 3 Pay Range $153,900 - $211,650 USD Zone 4 Pay Range $144,900 - $199,200 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. Product Marketing Manager, Lakewatch & Agentic...
MKTQ227R16 Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic Security Lakehouse that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response. We are looking for a Sr. Product Marketing Manager to support the marketing strategy for these emerging applications to support Lakewatch in its next phase of growth. In this role, you will shape and execute the go-to-market strategy and tactics for Lakewatch and other applications in the Agentic Apps portfolio, collaborating closely with demand generation, sales, partners, external agencies and contractors, and the broader Databricks marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks. This role sits within the product marketing organization and works cross-functionally with demand generation, product, sales, and alliances. The impact you will have: - Hit or exceed Lakewatch and Agentic Apps pipeline and revenue goals by shaping and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months. - Execute content and field marketing activities across Agentic Apps by building and deploying scalable marketing programs that increase awareness, improve perception, and drive demand for Databricks Agentic Apps, with an emphasis on decision makers and senior executives in the line of business domain areas. - Increase Lakewatch and Agentic Apps adoption and usage across priority customer segments by co-creating a compelling narrative and positioning that differentiates Databricks in its various application spaces with an emphasis on cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases. - Establish Databricks as a recognized leader in its App Domains, with an emphasis on Cybersecurity - by driving thought leadership, field activity, content creation, sales collateral, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and pipeline contribution and progression - Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new capabilities within defined timeframes after launch. - Improve sales and overlay effectiveness in sales opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch and Agentic Apps win rates and reduce sales cycle times across core regions and segments. - Grow partner-sourced and partner-influenced pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals. - Continuously optimize GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion). What we look for: - Extensive product marketing experience in enterprise security software , with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings. - Proven ability to build and scale GTM for new or early-stage products , including setting goals, defining content and field marketing strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption. - Experience in both hands-on execution and 3rd party agencies for content and events in running demand generation, awareness, and field marketing activity - Experience in “outbound” product marketing such as content marketing, field marketing , working with owned and 3rd party events teams, external agencies and partners, to drive results and maintain a high level of excellence in execution - Attention to detail and operational thinking that uses sound judgment to determine the right levels of execution for cross-product marketing initiatives – from practitioner activity like 3rd party conference sponsorships and demand gen content creation, to executive level events like Executive Forums. - Demonstrated success partnering with product and demand generation to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention. - Experience enabling global sales and partner organizations on new solutions or categories , with evidence that your plays, content, field activity, and enablement improved product line outcomes such as win rates, pipeline progression, sales cycle times, or attach rates. - Experience collaborating with technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline. - Strong communication , comfortable driving cross-functional initiatives, influencing without direct authority, and representing Databricks with customers, partners, analysts, and at industry events. - Comfort operating in a fast-paced, highly cross-functional environment , where you help define new motions and processes rather than simply optimizing established playbooks. 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 $163,400 - $224,750 USD Zone 2 Pay Range $147,100 - $202,300 USD Zone 3 Pay Range $139,000 - $191,050 USD Zone 4 Pay Range $130,700 - $179,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager - Technical
RDQ427R180 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: As a Technical Product Manager , you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand both functional and non-functional requirements , such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field. Depending on your background, you will focus on one of two critical product areas : OLTP Databases You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents. Data Governance You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies). The Impact you will have: - Identify and drive impactful product improvements in your domain of expertise - Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus) - Shape and prioritize a meaningful product roadmap - Support go-to-market efforts and guide product adoption - For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform What we look for: - 5+ years of experience with a strong, hands-on technical background - Strong empathy for customers across full spectrum of Data Platform users - Deep domain expertise in one of the following: - Transactional databases (OLTP), cloud-native databases, or distributed systems - Data governance, data catalogs, lineage, and access management - Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance - Strong Python and SQL skills - Experience using AI-assisted development tools - Experience with systems design and architecture - Proven ability to work effectively across product, engineering, and technical field teams 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Lakeflow
RDQ426R402 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team , you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows , data pipelines , and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. The impact you’ll have: - Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption. - Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience. - Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations. - Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads. - Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success. What we look for: - 5+ yrs of experience - Bachelors degree in Computer Science or similar field - Experience in Product Management (inbound, outbound, cross-functional processes) - Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.) - Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines) - Strong data analysis and operationalization skills (SQL, Python, building operational dashboards) 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 Product Manager, Employee Experience
Sr Product Manager, Employee Experience Location: San Francisco, CA or Mountain View, CA GAQ426R322 About Databricks At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company. We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a "zero to one" initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday. The Opportunity Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place. As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications. What You’ll Do - Own the Zero-to-One Vision: Define and evolve the long-term strategy for the unified employee and manager experience, specifically focusing on advanced agentic workflows and automation tailored to the People function. - Drive Product Strategy & Automation: Partner closely with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform. - Domain Leadership: Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming standard internal tools into highly optimized, automated experiences. - Execute and Measure: Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data-driven insights to guide rapid iteration and development within an evolving field. - Influence and Collaborate: Report directly to VP of Product in IT and work cross-functionally to align engineering, design, and senior leadership around the automated product vision, evangelizing the roadmap in company-wide productivity and AI discussions. What You Bring - 5+ years of product management experience , with a proven track record leading specialized, highly technical, or zero-to-one enterprise and internal product initiatives. - Specialist Domain Expertise: Deep background in human resources and people-process functions, specifically with concrete experience in hiring, talent acquisition, employee experience and performance management . - Agentic Automation & Advanced AI: Hands-on experience or a strong technical understanding of agentic automation , LLM orchestration, and modern AI-driven workflows to streamline operational bottlenecks. - Strategic & Product Thought Leadership: Demonstrated ability to own a product domain end-to-end, linking automation outcomes directly to corporate scaling and employee experience goals. - Technical & Data Fluency: Strong understanding of building on advanced data platforms, user-centered design, data-informed development, and modern enterprise governance practices (e.g., RBAC/ABAC). - Ambiguity Champion: Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes, and collaborating directly with engineering pods to build applications from scratch. Preferred Qualifications - Experience developing custom productivity applications or automation layers on data platforms (such as Databricks). - Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces. Why You’ll Love This Role This is an opportunity to build one of Databricks’ most visible and innovative internal products, touching every employee and manager. You’ll define how the company experiences its own culture, systems, and data, while shaping a product that directly leverages Databricks’ own bleeding-edge technology. You’ll have the autonomy to create the future of how Databricks works, operating in a highly strategic environment with a direct line to leadership. 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 $145,000 - $199,300 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. Product Manager, Data Governance
RDQ226R497 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Design and launch new governance and security capabilities as part of Unity Catalog. - Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. - Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments. - Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. What we look for: - 5+ years of enterprise B2B Product Management experience - Educational background in computer science or related engineering practice. - Experience working with databases and/or data warehouses, security, and catalogs. - Experience building user-facing products for Data Analysts, Scientists, and/or Engineers. - Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.). - Experience in working closely with enterprise customers and ISV partners in the data market. 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Data Governance
RDQ226R497 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Design and launch new governance and security capabilities as part of Unity Catalog. - Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse. - Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments. - Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. What we look for: - 5+ years of enterprise B2B Product Management experience - Educational background in computer science or related engineering practice. - Experience working with databases and/or data warehouses, security, and catalogs. - Experience building user-facing products for Data Analysts, Scientists, and/or Engineers. - Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.). - Experience in working closely with enterprise customers and ISV partners in the data market. 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 $148,800 - $204,525 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. Product Manager, Data Engineering
P-8 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products. The impact you will have - Lead product management for one of the fastest growing products and businesses at Databricks - Make company wide impact by driving Data Engineering across the Databricks product portfolio - Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry - Define, shape, and drive the future of data processing, data applications, and data pipelines - Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market. What We Look For - 5+ years of product management and related experience with enterprise or SaaS products. - Educational or professional background in computer science or related engineering fields. - Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. - Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.) - Analytical skills to make data-driven decisions (e.g. analyze product usage) - Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form - A background in Data Engineering is a plus but not 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 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 $115,400 - $204,200 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. Product Manager, Databricks Repos
RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: - You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. - You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. - You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. - You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. - You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. - You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. - You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams. What we look for: - 5+ years of experience as a Product Manager working on platform products - Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users - Experience being a hands-on builder, must be comfortable using our own developer-facing products. - Passion for designing products that simplify user experience of technically complex products. 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 $148,800 - $204,525 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. Product Manager, Databricks Repos
RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: - You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. - You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. - You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. - You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. - You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. - You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. - You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams. What we look for: - 5+ years of experience as a Product Manager working on platform products - Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users - Experience being a hands-on builder, must be comfortable using our own developer-facing products. - Passion for designing products that simplify user experience of technically complex products. 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Databricks Free Edition
RDQ126R51 Mission At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. The Impact You Will Have - Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. - Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. - Work with academic and learning program partners to support data and AI education through Databricks. - Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. - Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. - Define and track success metrics that measure learning engagement and user outcomes. What We Look For - 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. - Strong customer empathy and passion for creating learning and onboarding experiences that empower users. - Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. - Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. - Technical proficiency to collaborate effectively with engineering on data and platform capabilities. 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 $148,800 - $204,525 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. Product Manager, Databricks Free Edition
RDQ126R51 Mission At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. The Impact You Will Have - Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. - Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. - Work with academic and learning program partners to support data and AI education through Databricks. - Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. - Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. - Define and track success metrics that measure learning engagement and user outcomes. What We Look For - 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. - Strong customer empathy and passion for creating learning and onboarding experiences that empower users. - Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. - Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. - Technical proficiency to collaborate effectively with engineering on data and platform capabilities. 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Databricks AI
RDQ127R47 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. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: - Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet - Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. - Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. - Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. - Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: - 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. - Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). - Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value. - Track record of bringing products from vision to launch in fast-moving, competitive spaces. - Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards. - Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market). - Bonus: exposure to building AI/ML or generative AI–powered products. 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 $148,800 - $204,525 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. Product Manager, Databricks AI
RDQ127R47 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. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: - Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet - Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. - Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. - Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. - Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: - 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. - Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). - Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value. - Track record of bringing products from vision to launch in fast-moving, competitive spaces. - Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards. - Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market). - Bonus: exposure to building AI/ML or generative AI–powered products. 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Compute Platform
RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) - Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. - Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. - Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution. - Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products. - Collaborate with leadership to align product initiatives with business goals. - Use data-driven insights to measure success, iterate, and improve user experience. What we look for: - 5+ years of product management experience, preferably in cloud, analytics, or data platforms. - Deep understanding of data platforms, the compute products that power them, and compute use cases. - Educational background in computer science or related engineering practice. - Experience working with engineers and designers to ship high-impact and cross-functional products. - Exceptional communication and storytelling skills to inspire teams and stakeholders. - Experience in working hand-in-hand with enterprise customers and ISV partners in the data market. 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 $156,600 - $215,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Product Manager, Compute Platform
RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) - Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. - Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. - Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution. - Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products. - Collaborate with leadership to align product initiatives with business goals. - Use data-driven insights to measure success, iterate, and improve user experience. What we look for: - 5+ years of product management experience, preferably in cloud, analytics, or data platforms. - Deep understanding of data platforms, the compute products that power them, and compute use cases. - Educational background in computer science or related engineering practice. - Experience working with engineers and designers to ship high-impact and cross-functional products. - Exceptional communication and storytelling skills to inspire teams and stakeholders. - Experience in working hand-in-hand with enterprise customers and ISV partners in the data market. 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 $148,800 - $204,525 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 Production Engineer- Public Sector
P-1602 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations - Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. - Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements. Production Engineering & Automation - Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly. - Treat operational and security issues as software problems : eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling. Security Data Pipelines & Compliance - Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits. - Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards. Regulated & Specialized Environments - Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW). - Ensure high availability and resiliency for critical security and access infrastructure across these environments. On-Call & Incident Response - Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines. - Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future. What We Look For - Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance. - Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus. - Education- BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Experience: 5+ years of experience in production engineering, SRE, security engineering, or cloud infrastructure roles. - Cloud & Infrastructure Expertise - Deep hands-on experience with at least one major cloud provider ( AWS, Azure, or GCP ) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging. - Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes. - Security & Compliance Mindset - Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls. - Familiarity with access review processes, policy baselines, and audit evidence for cloud environment. - Operational Excellence - Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management. - Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms. Bonus - Experience with Okta, Opal, or similar identity/access tooling . - Background operating secure admin workstations (SAW) or comparable hardened access patterns. - Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations . 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 $135,500 - $186,350 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. Product Designer, AI/BI
RDQ427R273 Mission At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together. You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle. The impact you will have: - Reimagine how users explore data using natural language and AI assistance - Design interactions that make AI-generated insights transparent and trustworthy - Create experiences that move from exploration → validation → action in minutes - Enable collaboration between data engineers, analysts, and business leaders - Help define new design patterns for AI-native enterprise software - Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape. What we look for: - 5+ years of product design work experience. - A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines. - You’re comfortable talking to strategic customers in key decision-making positions. - Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA. - Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders. - Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process. - A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally. - You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling. - A portfolio showcasing the end-to-end design process. - Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have. - Coding React, SQL, CSS, and/or Python is a nice-to-have. 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 $144,800 - $199,100 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 $137,600 - $189,200 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. Partner Sales Director
SLSQ327R678 As Partner Sales Director for LATAM, you own the partner go-to-market strategy — architecting joint solutions with our most strategic partners, building durable pipelines, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' LATAM partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the region — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Vice President of AMER Partner Sales. The impact you will have: - LATAM Partner Territory Plan - You will own the partner territory plan for the LATAM business. - Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly to senior partner and customer leadership. - Orchestrate cross-functional alignment — set direction across Sales, Field Engineering, Marketing, Partner Solution Architecture, and partner leadership, resolving friction and keeping strategic deals moving. - Build and own the pipeline engine — architect the LATAM partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. - Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. - Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value LATAM use cases. - Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. - Apply an operator mindset with AI-driven tools to improve forecasting accuracy, pipeline quality, solution development speed, and partner attribution. What we look for: - 10+ years in partner/alliance sales, channel, or GTM at an enterprise software, cloud, or data company; proven track record of building partner-sourced pipeline and driving measurable revenue impact. - Demonstrated ability to hold partners accountable and drive effective joint execution — from account planning through co-sell to closed consumption. - Experience developing joint solutions with SI/ISV partners — translating industry use cases into repeatable, differentiated offerings. - Track record of cross-functional leadership across Sales, Field/technical, Marketing, and partners in a matrixed environment. - Strong executive presence — shapes a business narrative and aligns senior internal, partner, and customer stakeholders. - Operational rigor: clean pipeline hygiene, KPI discipline, and data-driven inspection. - Industry fluency across Manufacturing and Energy — understanding of the sector value chain and how data and AI create value across it; ability to translate industry use cases into joint partner solutions and GTM plays. - Fluency with modern AI productivity tools to drive analysis, solution development, and operating efficiency. - Ability to travel as needed (approximately 25–40%) for partner business reviews, account-planning workshops, industry summits, and customer/partner executive engagements. 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. Partner Marketing Manager - Consulting & Syste...
MKTQ227R35 The Senior Partner Marketing Manager, C&SI (Consulting & Systems Integrators), will accelerate Databricks’ growth with the world’s largest consulting firms by driving demand for our Data and AI Platform joint solutions and building brand awareness. You will deepen preference for Databricks with both executive and practitioner audiences at strategic consulting firms, and turn that preference into joint marketing motions that grow shared pipeline and customer adoption. You must be a self-starter and have the ability to work in a fast-paced environment. You will work closely with Business Development, Partner Solution Architects, Industry and Product Marketing, and Regional Marketing to drive priority GTM themes into measurable partner business impact. Impact you’ll make (12–18 month outcomes) - Build and execute joint marketing plans with C&SI partners. Work with partner teams to drive GTM priorities and assigned partner pipeline targets. - Develop and execute co-marketing programs across webinars, events, digital campaigns, and partner-led activities to generate net-new demand and support active opportunities. - Create and drive consumption of repeatable joint collateral with partners, including solution briefs, blogs, industry use cases, campaign assets, and customer proof points that support partner-led selling. - Publish at least 6 customer stories or joint announcements annually that showcase C&SI-led Databricks success. - Manage a consistent C&SI partner communications engine, delivering roughly 6 high-impact “to partner” touchpoints per month (e.g. newsletters, webinars, enablement events) that achieve agreed engagement and adoption targets. - Scale repeatable partner marketing motions in conjunction with our Partner Development Center, via standardized marketing materials such as solution briefs, campaign kits, industry use-case assets, and customer proof points that can be leveraged globally. What we look for - 7+ years of experience in partner marketing or alliance marketing for an enterprise software or SaaS company. - Proven experience working with consulting firms, GSIs, or system integrators in cloud, data, AI, or enterprise software, with a track record of growing joint pipeline and revenue. - Demonstrated success building and executing joint campaigns and co-marketing programs (webinars, events, digital campaigns, and partner-led activities) that deliver measurable pipeline and opportunity impact. - Experience creating high-impact joint partner content and sales enablement materials , such as solution briefs, industry use cases, campaign assets, and customer proof points that support partner-led selling. - Strong program management, communication, and cross-functional leadership skills , with the ability to align Business Development, Partner Solution Architects, Product Marketing, and Regional Marketing around shared goals. - Domain familiarity with cloud, big data, analytics, data warehousing, machine learning, or AI technologies , sufficient to position differentiated joint solutions with senior technical and business stakeholders. - Confident presenter with experience enabling partners and customers through conferences, seminars, webinars, or executive briefings, using storytelling and data to drive action. 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 $163,400 - $224,750 USD Zone 2 Pay Range $147,100 - $202,300 USD Zone 3 Pay Range $139,000 - $191,050 USD Zone 4 Pay Range $130,700 - $179,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Partner Delivery Manager
CSQ327R54 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. Professional Services Delivery Partner Manager supports the mission of the Professional Services 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 Professional Services team in order to use Databricks delivery partners to accelerate our customer project outcomes . - Build and develop Professional Services 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 PS & 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 IT organizations with a focus on managed or professional service delivery - Extensive experience within a professional services 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. 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. Manager, Technical Solutions
CSQ426R137 Databricks is looking for a Senior Technical Solutions Manager to grow, lead and manage the Technical solutions engineers and support teams in India. The Senior Technical Solutions Manager is responsible for building and managing a regional team of technical experts focused on resolving highly complex and long-running support tickets raised by Databricks customers while overseeing the Support operations. Impact you will have: - Build and manage a team of Technical Solution Engineers - Provide coaching and mentorship to the engineers - Identify and implement process improvements to meet or exceed regional performance KPIs. - Establish training plans and subject matter expertise within the team. - Drive support escalations and establish cross-functional collaboration to manage and resolve issues. - Be a player-coach and provide technical leadership to the regional support team. - Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform. - Define quarterly goals and track them to completion to drive team growth and personal development. - Scale the organization by developing processes and guidelines that promote operational efficiency - Demonstrate a true sense of ownership and coordinate action items with engineering and escalation teams to achieve timely resolution of customer issues. - Perform risk assessments and be a hands-on leader What we are looking for: - Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining - Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers - Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark ™ in a technical capacity - Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers. - Excellent analytical and troubleshooting skills. - Excellent customer facing, verbal and written communication skills - A team-oriented attitude and a high degree of comfort working in a startup environment - Hands-on experience in systems troubleshooting, networking, and Linux fundamentals, JVM troubleshooting, debugging of Java applications is 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. Manager, Payroll
GAQ127R57 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the United States and Canada. This is a hands-on leadership role — you will run the operations, lead the team, own the compliance, and be the subject matter expert the business turns to when it matters. You will sit within the Global Payroll function, reporting directly to the Senior Director, Head of Global Payroll , and will be an active member of the Payroll Leadership Team — contributing to global strategy, cross-regional alignment, and function-wide initiatives beyond your direct remit. You will manage a team of four to five payroll professionals and be accountable for accurate, timely, and compliant payroll for a fast-scaling workforce across multiple US states and Canadian provinces. This is not a coordinator role with a manager title. We need someone who has been in the engine room, knows what good looks like, and can build it here. The impact you will have: Payroll Operations - Own the full payroll cycle — semi-monthly and off-cycle runs — for all US and Canadian employees, ensuring accuracy, timeliness, and a clean audit trail on every run - Manage the payroll calendar, cut-off deadlines, and coordination with HR and Finance to ensure data integrity from hire to final pay - Serve as the primary escalation point for payroll discrepancies, employee queries, and operational issues — resolving with speed and precision - Drive continuous improvement across payroll processes, reducing manual effort and increasing controls without sacrificing responsiveness Technology & Systems - Work within Workday Payroll and Workday HCM as the primary payroll platform — managing pay runs, earnings and deduction codes, and audit reporting - Utilise ADP Smart Compliance for multi-state and provincial tax filing, remittance, and amendment management - Partner with HRIS and IT on system upgrades, open enrolment changes, and configuration changes requiring payroll impact assessment - Identify opportunities to reduce manual reconciliation and improve data accuracy across the payroll tech stack Tax Compliance — US & Canada - Ensure full compliance with federal, state, and local payroll tax obligations across all US jurisdictions including multi-state nexus, SUI, SDI, and local levies - Manage Canadian payroll tax compliance across all provinces — CPP, EI, provincial income tax, and Quebec-specific requirements (QPP, QPIP) - Own year-end processes end to end — W-2, W-2c, T4, T4A, RL-1 — from reconciliation through employee distribution and agency filing - Manage tax registration, filing, amendment, and penalty response across all active jurisdictions - Stay ahead of legislative changes — federal and sub-national — and translate them into process and system updates before they become compliance gaps Equity & Supplemental Compensation - Manage payroll processing and tax withholding for RSU vesting events , including coordination with Stock Administration on vest schedules, sell-to-cover mechanics, and supplemental withholding rates - Ensure correct treatment of ESPP, NQSOs, ISOs, and other equity instruments from a payroll tax perspective - Partner with Legal and Tax on equity income sourcing and IRS / CRA reporting obligations on equity-derived income - Reconcile equity payroll data to stock admin records each quarter with zero tolerance for mismatch Team Leadership - Lead, develop, and performance-manage a team of four to five payroll professionals — setting clear expectations, managing workload, and building capability - Create a team culture where accuracy is non-negotiable, deadlines are owned not managed around, and problems surface early - Build redundancy and cross-training so the function is never single-threaded on any critical process - Coach the team on technical depth — tax law, equity mechanics, compliance — so they grow into the next generation of payroll leaders Controls, Audit & Governance - Design and maintain SOX-compliant payroll controls, including segregation of duties, approval workflows, and exception reporting - Lead payroll's response to internal and external audits — preparing documentation, managing timelines, and closing findings without repeat - Maintain payroll policy documentation and desktop procedures, updated with every legislative or system change - Produce monthly payroll metrics and variance analysis for Finance and HR leadership What we look for: - 8+ years of hands-on US and Canada payroll experience, with at least 3 years in a leadership role managing a team - Deep working knowledge of US multi-state payroll tax — nexus determination, reciprocity agreements, SUI/SDI, supplemental withholding rates - Solid understanding of Canadian payroll compliance — CPP/QPP, EI/QPIP, provincial tax, T4/RL-1 year-end - Proven experience managing RSU and equity payroll — from vest event processing through W-2/T4 reconciliation - Strong command of payroll reconciliation, general ledger mapping, and accrual processes - Experience leading teams of four or more people — you know how to delegate, develop, and hold people accountable - CPP (Certified Payroll Professional) or equivalent certification preferred Nice to Have - Experience with Workday Payroll and Workday HCM — working knowledge of the platform in a payroll operations context is a strong advantage - Hands-on experience with ADP Smart Compliance for multi-jurisdictional tax filing and agency management is a strong advantage - Experience supporting a high-growth technology company through rapid headcount scaling across new US states and Canadian provinces - Familiarity with Shareworks for stock plan administration and equity payroll integration is an added advantage - Experience with payroll and equity tax rules for mobile employee populations - Exposure to global payroll coordination and vendor management beyond North America 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 $189,300 - $260,250 USD Zone 2 Pay Range $170,300 - $234,200 USD Zone 3 Pay Range $160,900 - $221,200 USD Zone 4 Pay Range $151,400 - $208,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Manager, Partner Solutions Architect
FEQ425R219 The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting & SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team's effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome. The impact you will have: - You will grow a team of Partner Solutions Architects for a company in high-growth mode. - Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions. This will establish partners as trusted advisors by having strong capability and Databricks practices. - Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product) - Establish relationships across the business to make your partners and our customers successful. - Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values - Drive Customer Success and DBU consumption through consulting partners - Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives What we look for: - Experience hiring and managing field or technical teams from scratch at hyper-growth speed - 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS - Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers - Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models - Great at instituting processes for technical field members to promote efficiency - Bachelor's Degree in STEM subject, or MSc desirable - Technical background either in Data Engineering / Database technologies or Data Science 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. Manager, Finance PMO & Operations (Procure-To-...
GAQ327R163 Overview: Databricks is seeking a Senior Manager, Finance Commercialization, PMO, and Operations. You will be responsible for driving organization, transformation, innovation and operational efficiency at scale, as well as managing key programs across global Finance teams within the Controllership organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects. You will partner with teams across the Controllership, including Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, Payroll, Tax, Treasury, and Commissions, and collaborate with cross-functional teams such as IT, Engineering, Go-to-Market, FP&A, Pricing, Sales Operations, and our Internal Audit team. You will own planning processes, project intake and prioritization and drive key trade-off decisions on behalf of the Controllership. Your passion should be planning, leading, and executing global, cross-functional, enterprise-wide projects that impact the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements. The impact you will have: - Project and Program Management: - Streamline and own planning, intake, and prioritization processes across the Controllership, ensuring alignment with the Company and Finance team’s goals and strategy - Lead and manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams - Provide leadership and expertise in planning, organizing, and executing high-impact projects that drive operational excellence and process standardization across the Finance team - Cross-Functional Collaboration: Drive cross-functional collaboration across teams and locations to ensure the seamless execution of global initiatives - Work with our Engineering and IT teams to ensure timelines are met and risks are addressed - Accounting Process Optimization & Improvement: - Ensure efficiency in our Accounting processes and close procedures - Identify and implement automation opportunities across the Controllership to reduce manual work and streamline processes - Develop a Global Business Services strategy for global coverage and efficient growth - Communication, Reporting & Metrics: - Lead executive communications and reporting, ensuring transparency and alignment on project progress, risks, and outcomes - Run QBRs with leadership to ensure OKRs and metrics are on track to meet goals and established timelines What we look for: - Bachelor’s degree in Business, Finance, Accounting, or related field - 8+ years of experience working in Accounting groups - 8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation - Expertise in program management, executive communications, reporting, and metrics - Expertise in planning, OKRs, and QBRs - Experience in implementing and managing SOX controls on both the business process and IT sides - Experience in process improvement and optimization - Proficiency with JIRA, project management tools, and reporting systems - SaaS industry experience is a plus - CPA certification is a plus - SQL or Python experience is a plus - Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides 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 $178,900 - $245,950 USD Zone 2 Pay Range $161,000 - $221,300 USD Zone 3 Pay Range $152,100 - $209,100 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Manager, Field Engineering - Strat Media
Req ID FEQ327R504 Title: Sr. Manager - Strat Media While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major media agencies, ad tech, and Data/Identity companies are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Agencies ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team's vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward. The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks’ Field Engineering team's Agency segment. Reporting to the Director, Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth. The Agencies vertical sits at the intersection of data, AI, and advertising. You'll lead a team that works with some of the most data-intensive companies in the world, holding companies managing billions in media spend and influencing the broader buy and sell side ecosystem. The Impact You Will Have - You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode. - Make your customers in the Agencies segment successful with Databricks and provide outsized value to their businesses. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets and ensure customer success - Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media Advertising industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For - 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning). - 3+ years of first-line management experience leading technical pre-sales or solutions architecture teams — including hiring, onboarding, coaching, performance management, and career development. - Understanding of the advertising and media agency ecosystem — how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms. - 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals. - A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. - Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles. - Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners. - Experience working with teams across Sales, Product Management, Engineering, and Customer Success. - Must be technical enough to earn the trust of Engineering talent and leadership at Databricks. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $218,400 - $300,300 USD Zone 2 Pay Range $218,400 - $300,300 USD Zone 3 Pay Range $218,400 - $300,300 USD Zone 4 Pay Range $218,400 - $300,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Manager, Field Engineering (Specialist) - HCLS
FEQ327R502 Mission Reporting to the Tech GM of Field Engineering, the Specialist Solutions Architect Manager for Healthcare & Life Sciences (HLS) will lead a high-impact team of Specialist Solutions Architects (SSAs) and SSA Team Leads/Managers across the North East region. You will cultivate, guide, and scale a dynamic organization focused on enterprise software, big data, healthcare interoperability (e.g., FHIR/HL7), clinical/claims analytics, real-world evidence (RWE), and medical AI/ML applications. Leading this specialized pre-sales engine, you will partner closely with Sales leadership to drive consumption, maximize ARR, and help healthcare providers, payers, and pharmaceutical organizations achieve transformational business and patient outcomes. You will scale and operate a world-class tier of field engineers to accelerate Databricks' dominance within the HLS vertical. The Impact You Will Have: - Hire, train, and develop a high-performing tier of both individual contributors (IC) and frontline managers/leads within the Specialist Solutions Architecture organization. - Maintain a robust, diverse hiring pipeline attuned to deep technical expertise, clinical data structures, and life sciences domain proficiency. - Exceed regional sales and consumption targets by ensuring your management and SA teams rigorously qualify accounts, identify high-value genomic, clinical, or operational use cases, execute secure proof-of-concepts, and serve as trusted advisors across the customer lifecycle. - Drive deep adoption of the Databricks Data Intelligence Platform, ensuring compliance frameworks (HIPAA, HITRUST, GxP) are properly mapped to outsized business and regulatory value. - Establish strong matrixed relationships across Product Management, Engineering, Industry Solutions, and Sales to remove blockers and accelerate go-to-market velocity. What We Look For: - 5+ years of leadership experience directly managing technical pre-sales teams, with a proven track record of leading both high-level individual contributors (L6+) and frontline technical managers/pod leads. - 5+ years of deep experience in the data and AI space with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure). - Comprehensive understanding of the Healthcare and Life Sciences vertical, including hands-on familiarity with industry data models (OMOP, FHIR), regulatory constraints (HIPAA, GxP), and standard enterprise data integration/transformation patterns. - Proven capability as a trusted strategic advisor to HLS technical executives (CTOs, CIOs, Chief Data Officers) guiding large-scale cloud infrastructure and AI roadmap decisions. - Elite command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC) management, and value-selling frameworks. - Demonstrated history of organizational scaling—successfully hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways. - Strong operational rigor around pipeline tracking, resource allocation, and building cross-functional alignment between Field Engineering, Sales, and Customer Success. 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 $219,600 - $301,875 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.
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