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Senior Software Engineer - Fullstack
P-1321 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. Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience. Below are some example teams you can join: SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage. Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects. Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform. Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit . Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills. What we look for: - BS/MS/PhD in Computer Science, or a related field - 5+ years of experience with HTML, CSS, and JavaScript - Passion for user experience and design and a deep understanding of front-end architecture - Comfortable working towards a multi-year vision with incremental deliverables - Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember) - Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM) - Good knowledge of SQL - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes - Experience in architecting, developing, deploying, and operating large scale distributed systems 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.
Senior Software Engineer - Fullstack
P-1443 Databricks is on a mission to simplify and democratize data and AI — 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 a Fullstack 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. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: - Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. - AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. - Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement. - Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents. What we look for: - 5+ years of experience with HTML, CSS, and JavaScript. - Passion for user experience and design and a deep 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). - 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). - Good knowledge of SQL. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience developing large-scale distributed systems. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $146,200 - $201,100 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Software Engineer - Fullstack
P-160 Who We Are 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 Intelligence 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 Full Stack 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. - Passion for user experience and design and a deep 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). - 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). - Good knowledge of SQL. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience developing large-scale distributed systems. 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.
Senior Software Engineer - Fullstack
P-951 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 Intelligence 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 Full Stack 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. - Passion for user experience and design and a deep 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). - 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go). - Good knowledge of SQL. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience developing large-scale distributed systems. 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 $157,700 - $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.
Senior Software Engineer - Fullstack
P-160 Who We Are Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems. We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems. What You’ll Do - Full-Stack Development : Design, develop, and maintain both front-end and back-end components of our web applications. - UI/UX Design : Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end. - Backend API Development : Architect, design, and implement RESTful APIs and microservices to support the application. - Collaboration & Mentorship : Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development. - Product Sense : Contribute to product strategy by offering insights based on technical feasibility and user experience considerations. - Code Quality & Testing : Write clean, maintainable, and well-documented code. Ensure the reliability and performance of all components with rigorous testing. - Performance Optimization : Continuously monitor and optimize performance, both for the front-end and back-end. - Agile Development : Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews. What we look for: - 5+ years of experience with HTML, CSS, and JavaScript. - Passion for user experience and design and a deep 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). - 5+ years of experience with server-side web technologies (eg: Java, Python, Scala, Go). - Good knowledge of SQL. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience developing large-scale distributed systems. Why Join Us? - Work on AI-powered features that directly impact thousands of data practitioners all over the world. - Collaborate with a world-class team at the intersection of AI, data, and cloud computing. - Build innovative solutions in a fast-moving, high-growth environment. - Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now! 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.
Senior Software Engineer - Distributed Data System...
P-59 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. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering : Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: - BS (or higher) in Computer Science, related technical field or equivalent practical experience. - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - 5+ years of production level experience in either Java, Scala or C++. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). 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.
Senior Software Engineer - Distributed Data System...
P-1415 At Databricks, we are passionate about helping data teams 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, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of the not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). The responsibilities you will have : - Drive requirements clarity and design decisions for ambiguous problems - Produce technical design documents and project plans - Develop new features - Mentor more junior engineers - Test and rollout to production, monitoring. What we look for: - BS in Computer Science or equivalent practical experience in databases or distributed systems - Comfortable working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value and impact - 5+ years of production level experience in either Java, Scala or C++ - Solid foundation in algorithms and data structures and their real-world use cases - Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop) 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.
Senior Software Engineer - Distributed Data System...
P-987 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. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering : Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: - BS (or higher) in Computer Science, related technical field or equivalent practical experience. - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - 5+ years of production level experience in either Java, Scala or C++. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). 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 $157,700 - $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.
Senior Software Engineer - Distributed Data System...
P-59 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. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering : Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: - BS (or higher) in Computer Science, related technical field or equivalent practical experience. - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - 5+ years of production level experience in either Java, Scala or C++. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). 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.
Senior Software Engineer (Data Platform)
P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: - Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. - Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company. - Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling. - Design the base ETL framework used by all pipelines developed at the company. - Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product. - Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products. - Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change. - Represent Databricks at academic and industrial conferences & events. What we look for: - 6+ years of industry experience - 4+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security. - Experience building, shipping and operating reliable multi-geo data pipelines at scale. - Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools. - Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems. - Excellent cross-functional and communication skills, consensus builder. - Passion for data infrastructure and for enabling others by making their data easier to access. 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.
Senior Software Engineer - Database Engine Interna...
P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: - Query compilation and optimization - Distributed query execution and scheduling - Vectorized execution engine - Data security - Resource management - Transaction coordination - Efficient storage structures (encodings, indexes) - Automatic physical data optimization The responsibilities you will have: - Drive requirements clarity and design decisions for ambiguous problems - Produce technical design documents and project plans - Develop new features - Mentor more junior engineers - Test and rollout to production, monitoring. What we look for: - A passion for database systems, storage systems, distributed systems, language design, or performance optimization - Are comfortable working towards a multi-year vision with incremental deliverables - Be customer-oriented and focused on having an impact - 5+ years of experience working in a related system - Optional: PhD in databases or distributed systems 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.
Senior Software Engineer - Database Engine Interna...
P-97 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: - Query compilation and optimization - Distributed query execution and scheduling - Vectorized execution engine - Data security - Resource management - Transaction coordination - Efficient storage structures (encodings, indexes) - Automatic physical data optimization What we look for: - A passion for database systems, storage systems, distributed systems, language design, or performance optimization - Experience working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value and impact - 5+ years of experience working in a related system (preferred) - Optional: PhD in databases or distributed systems 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.
Senior Software Engineer - Database Engine Interna...
Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art: - Query compilation and optimization - Distributed query execution and scheduling - Vectorized execution engine - Data security - Resource management - Transaction coordination - Efficient storage structures (encodings, indexes) - Automatic physical data optimization What we look for: - A passion for database systems, storage systems, distributed systems, language design, or performance optimization - Experience working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value and impact - 5+ years of experience working in a related system (preferred) - Optional: PhD in databases or distributed systems 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.
Senior Software Engineer (Backend) - AI/ML Environ...
P-78 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 ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. 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. The impact you will have - Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. - Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. - Interact with turnkey customers and product managers to envision new features and identify areas for improvement. - 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 with a focus on building systems - Strong programming skills in Python, Scala or Java - 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 - Strong understanding of dependency management technologies including virtual environments or containerization technologies. 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 - $220,000 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.
Senior Software Engineer - Backend
P-939 (Position Location is open to both our Seattle & Bellevue offices.) 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 impact you'll have: As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure. Below are some example projects and the - Serverless platform : Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment. - Core cloud platform : Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet. - Partner ecosystem : Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem. - Notebook dataplane : Build multi-language multi-user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks. - Application platform . Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with "batteries included". Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer's developer experience. What we look for: - - BS (or higher) in Computer Science, or a related field - 5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language - Experience developing large-scale distributed systems - Experience working on a SaaS platform or with Service-Oriented Architectures - Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes - Experience with security and systems that handle sensitive data 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 $157,700 - $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.
Senior Software Engineer - Backend
P-1440 Databricks is on a mission to simplify and democratize data and AI — 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. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: - Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. - AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. - Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement. - Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents. What we look for: - BS (or higher) in Computer Science, related technical field or equivalent practical experience. - Comfortable working towards a multi-year vision with incremental deliverables. - Motivated by delivering customer value and impact. - 5+ years of production level experience in either Java, Scala or C++. - Strong foundation in algorithms and data structures and their real-world use cases. - Experience developing large-scale distributed systems. - Experience working on a SaaS platform or with Service-Oriented Architectures. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience with security and systems that handle sensitive data. - Good knowledge of SQL. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $146,200 - $201,100 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Software Engineer - Backend
P-1327 At Databricks, we are passionate about helping data teams 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, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: - Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. - Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. - Develop product features that empower our customers to easily store and access their data. What we look for: - BS (or higher) in Computer Science, or a related field - 5+ years of production level experience in one of: Java, Scala, C++, or similar language. - Experience developing large-scale distributed systems. - Experience working on a SaaS platform or with Service-Oriented Architectures. - Knowledge of SQL. 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.
Senior Software Engineer - Backend
P-1415 At Databricks, we are passionate about helping data teams 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, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: - Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. - Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. - Develop product features that empower our customers to easily store and access their data. What we look for: - BS (or higher) in Computer Science, or a related field - 5+ years of production level experience in one of: Java, Scala, C++, or similar language - Experience developing large-scale distributed systems - Experience working on a SaaS platform or with Service-Oriented Architectures - Knowledge of SQL 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.
Senior Software Engineer - Backend
P-1318 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. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: - Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. - Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. - Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: - BS (or higher) in Computer Science, or a related field - 3+ years of production level experience in one of: Java, Scala, C++, or similar language. - Experience developing large-scale distributed systems. - Experience working on a SaaS platform or with Service-Oriented Architectures. - Good knowledge of SQL. 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.
Senior Software Engineer - Backend
P-78 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. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: - Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way - Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers - Build tools to allow Databricks engineers to operate their services across different clouds and environments - Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: - BS (or higher) in Computer Science, or a related field - 5+ years of production level experience in one of: Java, Scala, C++, or similar language. - Experience developing large-scale distributed systems. - Experience working on a SaaS platform or with Service-Oriented Architectures. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience with security and systems that handle sensitive data. - Good knowledge of SQL. Benefits - Comprehensive health coverage including medical, dental, and vision - 401(k) Plan - Equity awards - Flexible time off - Paid parental leave - Family Planning - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Employee Assistance Program (EAP) - Business travel accident insurance 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.
Senior Software Engineer - Backend
P-78 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. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: - Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way - Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers - Build tools to allow Databricks engineers to operate their services across different clouds and environments - Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: - BS (or higher) in Computer Science, or a related field - 5+ years of production level experience in one of: Java, Scala, C++, or similar language. - Experience developing large-scale distributed systems. - Experience working on a SaaS platform or with Service-Oriented Architectures. - Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. - Experience with security and systems that handle sensitive data. - Good knowledge of SQL. Benefits - Comprehensive health coverage including medical, dental, and vision - 401(k) Plan - Equity awards - Flexible time off - Paid parental leave - Family Planning - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Employee Assistance Program (EAP) - Business travel accident insurance 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.
Senior Software Engineer - Application Traffic tea...
P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started. As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default. The impact you’ll have: You’ll work across three key areas that define Databricks’ networking stack: - Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds. - Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details. - Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads. What we look for: - BS (or higher) in Computer Science or related field - 5+ years of experience designing and building large-scale distributed systems - Strong proficiency in one or more languages such as Java, Scala, Go, or C++ - Experience with service-oriented architectures and large scale distributed systems - Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) - Track record of shipping infrastructure that supports mission-critical workloads at scale Preferred: background in service discovery, DNS, load balancing, Envoy, or related networking systems 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.
Senior Software Engineer (App-Framework)
P-926 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. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : - Design, implement, and maintain core system infrastructure and low-level software components. - Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. - Work with JVM internals, memory management, concurrency, and distributed systems. - Collaborate with other senior engineers and architects to define technical strategies and roadmaps. - Mentor junior engineers and contribute to a culture of technical excellence. - Participate in code reviews, design discussions, and architectural decision-making. - Troubleshoot complex system issues and provide effective resolutions. Qualifications - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 7+ years of professional experience in software development. - Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model. - Proficiency in at least one JVM language and extensive experience with its runtime environment. - Strong programming skills in Scala/Java/Rust or other systems-level languages. - Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O. - Proven track record of building and optimizing high-performance, scalable, and reliable systems. - Experience with distributed systems concepts and technologies. - Excellent problem-solving, analytical, and debugging skills. - Strong communication and collaboration abilities - Experience with performance profiling and tuning tools. - Contributions to open-source projects related to JVM or systems software. - Experience with RPC frameworks. If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future. 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.
Senior Software Engineer, AI Runtime
P-1428 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. Training and customizing state-of-the-art AI models is one of the most demanding workloads in computing, and it sits at the heart of Databricks' Mosaic AI mission. AI Runtime (AIR) is our managed platform for large-scale GPU training and fine-tuning. It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs. AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world. As a Senior Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless. You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale. Beyond hands-on contributions to core systems, you will help shape the technical direction for AIR, mentor other engineers, partner across product, research, and platform teams, and contribute to the initiatives that expand the technical and business impact of custom training at Databricks. The impact you will have: - Drive the architecture and evolution of AIR's managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators. - Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs. - Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations. - Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers. - Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs. - Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability. - Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows. - Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and contribute to Databricks' technical direction in AI training infrastructure. What we look for: - 5+ years of experience building and operating large-scale distributed systems, with experience in GPU training infrastructure, high-performance computing, or ML systems. - Experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models. - Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs. - Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization. - Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability. - Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems. - Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value. - Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment. - Customer-focused mindset with the ability to align implementation details with product goals, and a passion for mentoring engineers and fostering technical excellence. - BS in Computer Science or a related field (MS or PhD preferred). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $160,000 - $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.
Senior Software Engineer, AI Native Web Platform
P-1580 About Us: The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. We are rebuilding the platform from the ground up, AI native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the platform layer that Web Engineering builds on: framework, infrastructure, CI/CD, and deployment pipelines. You will work under the direction of the Staff Software Engineer and contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system. The impact you’ll have : - Build and scale platform infrastructure including CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com - Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact - Implement consent management infrastructure at the platform layer, replacing fragmented per-surface implementations with a centralized, policy-driven system that enforces compliance automatically across all web properties - Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation - Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them What we look for: - 8+ years of software engineering experience with a track record of shipping and operating production web infrastructure - Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery - Experience implementing or operating consent management systems at the platform layer - Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines is a strong plus - Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction - Experience with tech stack consolidation or framework migration on live production systems is a strong plus Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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.
Senior Payroll Accountant
GAQ327R161 About the Role We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Payroll Accountant plays a critical role in executing the day-to-day and month-end accounting tasks associated with Databricks' global payroll. As part of the Global Accounting organization and reporting directly to the Payroll Accounting Manager based in India, you will tackle complex reconciliations, execute detailed variance analysis, and drive process improvements. The ideal candidate is a highly analytical self-starter with a keen eye for detail who thrives in a fast-paced, high-growth environment. The impact you will have: - Prepare and record comprehensive payroll journal entries, including salaries, bonuses, commissions, stock-based compensation, benefits, and multi-state/international taxes. - Prepare accurate monthly balance sheet reconciliations for assigned accounts, proactively identifying and resolving any variances or discrepancies within the close period. - Perform monthly payroll flux analysis, identifying and investigating drivers behind significant period-over-period movements. - Prepare payroll accounting for equity compensation programs such as RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the general ledger. - Execute payroll accounting across global entities, with exposure to high-complexity jurisdictions, including Netherlands, Brazil, France, Germany, and India, ensuring accurate accounting treatment and local compliance. - Partner closely with the Payroll Operations team to research and resolve discrepancies between the payroll register and the general ledger. - Support annual local statutory audits, consolidated external audits, and internal SOX requests; help maintain a documented system of accounting policies and procedures (SOPs). - Partner with the Manager and cross-functional teams (Legal, External Advisors) to set up accounting processes and systems for new international subsidiaries and locations. - Lead testing and implementation of updates to cloud-based payroll and accounting systems; perform ad hoc financial analysis and drive process improvement projects to increase efficiency. - Support AI and automation initiatives across payroll accounting, including reconciliation tooling, variance detection, and process improvements that reduce manual work. What we look for: - BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance - 6-8 years of general accounting experience, with a minimum of 4+ years dedicated specifically to payroll accounting - Chartered Accountant (CA) or CPA equivalent certification is strongly preferred. - Experience with equity compensation accounting (RSUs, stock options, ESPP) is a plus - Experience supporting annual statutory audits and the partnership skills necessary to collaborate effectively with local and remote teams across various time zones - Exposure to global payroll jurisdictions, particularly high-complexity countries such as Netherlands, Brazil, France, Germany, and India, is a plus - Hands-on experience with cloud-based accounting systems and a strong working knowledge of US GAAP - Hands-on experience or strong interest in driving automation and AI adoption in payroll or accounting operations - Proven experience partnering with local accounting teams to file statutory accounts and the flexibility to support remote teams across different geographic areas, including with US-based accounting teams 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.
Senior ML & AI Technical Solutions Engineer
P-1377 Mission As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. The Impact You Will Have - Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. - Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. - Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. - Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering. - Collaborate with internal teams to influence roadmap, product improvements and support business growth. - Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners. What We Look For 8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. - SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning, along with NLP techniques. - Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations. - Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging. - Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus. - Prior support or customer-facing experience is not required for this role, but the ability and desire to develop excellent customer service skills are. - Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued. - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications are good to have. 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.
Senior Manager, Infrastructure Data Science
RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: - Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. - Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. - Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. - Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. - Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. - Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: - 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies - 5+ years of management experience hiring and developing teams - Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment - Knowledge of statistics and rigorous analytical techniques - Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team - Bias to action and passion for delivering high-quality data solutions - A passion for problem-solving and comfort with ambiguity - MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering) 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 $228,600 - $314,250 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.
Senior Manager, Infrastructure Data Science
RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: - Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. - Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. - Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. - Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. - Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. - Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: - 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies - 5+ years of management experience hiring and developing teams - Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment - Knowledge of statistics and rigorous analytical techniques - Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies - Leadership skills and experience to lead across functional and organizational lines - Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team - Bias to action and passion for delivering high-quality data solutions - A passion for problem-solving and comfort with ambiguity - MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering) 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 $228,600 - $314,250 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.
Senior Manager, Identity & Access Management (IAM)
P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Role We are looking for an experienced and forward-thinking Senior Manager of Identity & Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale. As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default. What You’ll Do Strategic Leadership - Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem. - Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs. - Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance. Build and Lead High-Performing Teams - Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling. - Mentor technical leads and engineers; foster a high-performance and high-accountability culture. - Develop effective team structures and prioritize workstreams aligned to business and security priorities. IAM Architecture & Engineering - Lead the design and implementation of IAM capabilities including: - Single Sign-On (SSO), MFA, and federated identity - Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) - Privileged Access Management (PAM) - Identity lifecycle automation - Directory services and identity stores - Just-in-time access and least-privilege models - Drive modernization of legacy systems and implementation of Zero Trust identity principles. - Ensure scalability, high availability, and strong security controls across all identity platforms. Governance, Compliance & Risk - Own identity governance programs including access reviews, audit readiness, onboarding/offboarding controls, and policy enforcement. - Partner with compliance, risk, and legal teams to meet regulatory requirements (SOC2, ISO, FedRAMP, SOX, GDPR, etc.). - Ensure operational rigor, strong documentation, and sustainable controls that withstand audits and customer expectations. Cross-Functional Partnership - Work closely with IT, Product Security, Cloud Infrastructure, and Engineering to embed identity best practices throughout the organization. - Collaborate with product teams to ensure customer-facing identity capabilities are secure, intuitive, and scalable. - Build strong relationships with internal stakeholders and serve as a trusted advisor on identity issues. What You Bring - 8–12+ years of experience in security, identity engineering, or related technical fields - Deep technical expertise in modern IAM technologies, directories, authentication protocols (SAML, OIDC, OAuth), and identity standards. - Hands-on architecture or engineering experience within cloud environments (AWS/GCP/Azure). - Experience implementing Zero Trust identity models and privileged access management frameworks. - Strong understanding of identity governance, compliance requirements, and audit processes. Proven track record of leading high-performing teams and delivering complex, cross-functional programs. - Excellent communication, influencing, and stakeholder management skills. Why Join Us - Lead and shape the future of the company’s identity strategy during a period of rapid growth. - Work on highly impactful, company-defining initiatives that protect our people, platform, and customers. - Solve complex IAM challenges across cloud, SaaS, and hybrid environments. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 $217,000 - $264,600 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Manager, Forward Deployed Engineering (Full...
Req ID: CSQ327R55 2 x New roles Location: Remote - France Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: - Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio - Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics - Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice - Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution - Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth What we look for: - People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures - Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners - Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors - Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level - Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued 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.
Senior Manager, Finance Data and AI
GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance. You will be embedded in a Finance organization that takes data and AI seriously. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: - Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations - Identify, scope, and deliver AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data - Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders - Build reports and dashboards for monthly, quarterly, and executive-level reporting - Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies - Partner with Accounting, FP&A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake - Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent - Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements - Provide support during financial close and ensure timely resolution of data-related issues - Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes - Establish coding, data management, and documentation standards and best practices - Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results What We Look For: - 15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity - Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus - Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake - Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting - Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables - Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP&A) stakeholders - Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products - Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows Nice to Have: - Prior experience at a high-growth SaaS or cloud infrastructure company - Exposure to AI/BI tools, Genie, or LLM-powered applications - Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines - CPA, CFA, or formal finance/accounting background 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.
Senior Manager, Emerging Enterprise (DACH)
SLSQ327R621 Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for a Senior Manager, Emerging Enterprise (DACH) to join our world-class, hyper-growth organisation. In this first line leadership position, you will define the go to market strategy, business plan and cohesive sales strategy for the DACH region, in order to meet annual business segment goals and KPIs. You will lead and grow a team of experienced Emerging Enterprise Account Executives in growing a productive and sustainable business in this pivotal territory. This role is based in Germany. The impact you will have: - You will build, own and implement revenue plans to exceed sales targets - You will lead your team team to effectively communicate the Databricks value proposition and understand how this relates to customer goals - You will manage alignment of Account Executives within their territories, ensuring adherence to Databricks sales processes and achievement of quota - You will drive efficiencies and productivity across your territory, guiding Account Executives on accurate forecasting, pipeline development and activity tracking - You will support strategically important accounts within your territory, providing leadership to the sales team - You will align with the leadership team on quota setting and territory carving - You will raise the bar with hiring and development objectives - You will create long-term trust-based relationships with employees, partners, and cross functions - You will calibrate and align performance expectations across your teams in a constructive, motivating manner What we look for: - Strong first line management experience - Strong sales experience in Data and AI or technology sales experience - In-depth knowledge of how software is positioned and sold to IT and/or Data executives - Strong written, verbal, presentation, and organizational skills, with the ability to articulate and evangelize the value of Databricks solutions - Passionate about coaching and developing talent - Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc - Experience launching initiatives to create impact at scale - Ideally will have had exposure to the Startup, Emerging Enterprise and/or Digital Native space - Business fluency in English and German 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.
Senior Go-To-Market (GTM) Analytics Engineer (AI &...
SLSQ327R638 The GTM Solutions & Governance team sits within GTM StratOps/Analytics (SGO) and is tasked with making our GTM data estate trustworthy, enriched, and self-serviceable. As a distinct function from traditional analytics, we own the advanced AI/agent solutions and complex automation built on top of our data. You will work alongside experts in GTM Automation, GTM Alerting, Peer Similarity, and Data Governance to elevate how our GTM organization operates. The Role We are looking for a Senior GTM Analytics Engineer to build advanced generative AI applications, automated pipelines, and agentic solutions to optimize our revenue operations. You will own the development of data pipelines handling both structured and unstructured data, architect high-level AI implementations like Agentic CDPs, and drive our internal Databricks on Databricks (DBX@DBX) initiatives. Core Responsibilities - Agentic CDP & Identity Resolution: Architect and deploy Agentic Customer Data Platform (CDP) capabilities to perform intelligent identity resolution, driving automated and highly accurate data enrichment for accounts and contacts. - GenAI & Agent Architecture: Design LLM-powered systems and internal agents to automate KPI root-cause analysis, generate business insights, and streamline GTM communication. - Advanced Data Pipelines: Build and manage complex data pipelines to process structured and unstructured data, ensuring high-fidelity inputs for the GTM data estate while seamlessly integrating with our existing governance frameworks. - GTM Systems Integration: Understand the technology stack and how data flows between critical systems like Salesforce, Xactly, and 6sense to ensure unified data architecture. - Cross-Functional Partnership: Partner directly with Sales, Marketing, and RevOps leaders to turn strategic business problems into scalable, data-driven AI solutions. What We Look For - Technical Stack: You have expert proficiency in Python, SQL, and modern data pipelines. You also have experience with Salesforce or equivalent CRM systems. - Platform Expertise: You will work every day with a variety of data using Databricks’ lakehouse platform. You will become an expert in using Databricks and complementary AI technologies to build production-grade solutions. - Domain Experience: You typically have strong experience in data engineering, data science, or advanced analytics, with a background working closely with B2B sales, marketing, or finance data. - Advanced Analytics Background: You have a strong track record in B2B SaaS, machine learning, and generative AI deployment. - Execution Mindset: You excel in a collaborative environment and translate team member needs into clear deliverables. You work through dependencies, bottlenecks, and tradeoffs with ease. 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.
Senior Forward Deployed Engineer - Solutions Archi...
Req ID: CSQ127R149 Location: London, United Kingdom - Hybrid Job Role: Senior Forward Deployed Engineer - Solutions Architect or Senior Solutions Architect level Recruiter: Dina Hussain We’re hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: - Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration - Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer - Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. - Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. - Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. - Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: - Experience in data engineering, data platforms & analytics, or software engineering / full stack development - Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps, ML/AI models and AI APIs - Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. - Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. - Documentation and white-boarding skills. - Experience working with enterprise clients and managing conflicts across a broad stakeholder range - Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - Databricks Certification - an advantage 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.
Senior Forward Deployed Engineering - Architect
REQ ID: FEQ127R254 Location: Hybrid – London As a Senior Forward Deployed Engineering - Architect you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: - Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration - Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer - Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. - Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. - Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: - Extensive experience in data engineering, data platforms & analytics, or software engineering - Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps, ML/AI models and AI APIs - Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. - Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. - Documentation and white-boarding skills. - Experience working with enterprise clients and managing conflicts across a broad stakeholder range - Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - Databricks Certification preferred but not essential 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.
Senior Forward Deployed Engineer - Full stack
CSQ427R154 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: - Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration - Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer - Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. - Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. - Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: - Extensive experience in data engineering, data platforms & analytics, or software engineering - Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps, ML/AI models and AI APIs - Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. - Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. - Documentation and white-boarding skills. - Experience working with enterprise clients and managing conflicts across a broad stakeholder range - Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - 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.
Senior Forward Deployed Engineer - Full stack
Requisition # CSQ327R148 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: - Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration - Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer - Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. - Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. - Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. - Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: - Extensive experience in data engineering, data platforms & analytics, or software engineering - Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks - Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one - Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals - Familiarity with CI/CD for production deployments - Working knowledge of MLOps, ML/AI models and AI APIs - Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. - Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. - Documentation and white-boarding skills. - Experience working with enterprise clients and managing conflicts across a broad stakeholder range - Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. - Travel to customers 20% of the time - 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.
Senior - Finance Data and AI Specialist
About the Role As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge. This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems. What You Will Do - Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial processes across accounting and FP&A domains, including revenue, expenses, equity, commissions, and tax. - Build and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic - Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements - Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders - Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting - Support the implementation of row-level security and data access policies across Finance DataLake datasets - Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions - Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements - Support financial close by monitoring pipelines, investigating data issues, and escalating as needed - Participate in UAT for new system integrations and assist with technical documentation - Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead What We Look For - 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems - Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a strong plus - Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar) - Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting - Ability to translate Finance requirements into clean, maintainable technical solutions with guidance - Comfortable communicating across technical and non-technical audiences - Experience contributing to BI dashboards and self-service data products - Curiosity about AI/ML and interest in applying new techniques to Finance workflows Nice to Have - Prior experience at a high-growth SaaS or cloud infrastructure company - Exposure to AI/BI tools, Genie One, or LLM-powered applications 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.
Senior Field Technical Program Manager, Profession...
CSQ427R33 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. As a Senior TPM, you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. 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. The Impact You Will Have - Architecting Standards : You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region. - Cross-Functional Synergy : You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity. - Strategic Risk Leadership : You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture. - Knowledge Multiplication : You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization. What We Look For - Experience : 8–12+ years leading large-scale technical programs. - Technical Fluency : Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire. - AI Strategy : Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy. - Senior Leadership : Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs). - Scope : Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M. 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.
Senior Engineering Manager - Trust and Safety
P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Security Foundation Engineering is a cornerstone of this mission in protecting our platform and customers from evolving threats. We are looking for a Senior Engineering Manager to lead this area and set the direction for how security is built into every layer of our platform. The impact you will have: - Build and scale a high-performing engineering team focused on Security, Access, and Regulatory Compliance. - Lead the team and company to win the regulatory market by making the platform secure and compliant. - Define and execute the strategy for secure frameworks, primitives, and tooling used across Databricks. - Partner closely with engineering and product leaders across the company to ensure security/compliance by design in all new initiatives. - Drive adoption of security best practices across the organization by building easy-to-use, scalable frameworks and services. - Provide technical oversight for secure system design and guide efforts to reduce technical debt in core security components. - Represent Databricks and our security practices internally to senior leadership and externally to the industry. What we look for: - Strong track record building and managing high-performing teams of engineers, with experience growing organizations through multiple phases of scale. - Deep understanding of the relevant domains and infrastructure - Demonstrated success driving cross-functional initiatives that require influencing without direct authority. - Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality execution. - Strong communication and leadership skills, with the ability to evangelize security and inspire teams and stakeholders. - BS, MS, or PhD in Computer Science or a related technical field. - 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 $217,000 - $288,400 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.
Senior Engineering Manager for Workspace Platform
RDQ225R488 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. The Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience. As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks' expansion and user adoption. The impact you will have: - Strategy & Vision : Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience. - Execution Ownership : Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness. - Engineering Excellence: Establish and enforce team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations for high-volume distributed systems. - Cross-Functional Collaboration: Partner closely with teams across the organization, including those developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards, UC Platform) and core infrastructure, to ensure seamless integration and innovation. What we look for: - Experience: 15+ years of software engineering experience with a strong track record of technical leadership and impact. - Management: 5+ years of engineering management experience, including experience managing other managers. - Scaling: Proven experience scaling engineering teams from 10 to 30+ engineers. - Platform Expertise: Experience leading platform teams and backend developers in a SaaS environment. - Technical Depth: - Experience designing and building scalable distributed systems. - Familiarity with building services on top of containerization technologies. - Expertise in distributed systems, major cloud platforms (AWS, Azure, GCP), and modern web application architectures. - Collaboration: Strong ability to collaborate across product, engineering, and business teams to align technical strategy with core company growth objectives. - Passion: A passion for building and scaling robust, high-performance platforms. 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 $217,000 - $312,200 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.
Senior Engineering Manager - Backend
P-995 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. You will work with your team to build infrastructure and products for the Databricks platform at scale . We have multiple teams working on different domains. - Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way - Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers - Build tools to allow Databricks engineers to operate their services across different clouds and environments - Build services, products and infrastructure at the intersection of machine learning and distributed systems. The impact you will have: - Hire great engineers to build an outstanding team. - Support engineers in their career development by providing clear feedback and develop engineering leaders. - Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). - Work with engineering and product leadership to build a long-term roadmap. - Coordinate execution and collaborate across teams to unblock cross-cutting projects. What we look for: - 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc - Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up - Extensive experience managing a team of strong software engineers - Partner with PM, Sales, and Customers to develop innovative features & products. - BS (or higher) in Computer Science, or a related field. 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.
Senior Director, Global Accenture Lead
SLSQ327R442 The Consulting & Systems Integrator (C&SI) team accelerates Databricks' growth by building and managing relationships with the leading data technology services companies. In this role, as our Global Accenture Lead, you will drive a high-performing partnership focused on the strategic go-to-market motions with the Accenture Databricks Business Group (ADBG) to accelerate the business and manage a global team. You will lead this global partnership and implement a cohesive strategy to grow an iconic partnership focused on expanding mindshare, growing revenue, scaling the newly formed ADBG, and driving joint innovation. You will report to the Vice President of System Integrator Partners The impact you will have: - You will manage a team of global alliance professionals - You will expand and develop a partnership focused on delivering predictable and recurring growth within a mutually defined plan - You will engage the C-Suite at Accenture to build out the Global Strategy and Business Plan - You will help accelerate Databricks' and the partner's adoption within new opportunities and use case expansion - You will develop a training strategy resulting in practice growth and knowledge expansion - You will secure investment and establish programs around repeatable IP and solution investments, resulting in essential go-to-market plans - You will launch go-to-market events and mindshare activities that promote joint customer adoption and new logos - You will create and foster executive-level relationships at all levels within the partnership - You will create a mutually structured plan and track key metrics that address the needs of partners and key team members across sales, customer success, training, marketing, and product. What we look for: - 15+ years of experience in securing and supporting partnerships at a global scale - Track record of success managing a Global Team - In-depth understanding of alliance/partner organization, key stakeholders, overall strategy, company culture, market offering and joint value proposition. - Experience launching/driving results with an Accenture Business Group - Deep domain experience in enterprise infrastructure, cloud and analytics space - Global SI partner management experience spanning AMER, EMEA & APAC - Experience working and building unique channel relationships and complex contract negotiations - Experience driving results in a hyper-growth, multi-billion-dollar enterprise organization. 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 $260,000 - $357,425 USD Zone 2 Pay Range $260,000 - $357,425 USD Zone 3 Pay Range $260,000 - $357,425 USD Zone 4 Pay Range $260,000 - $357,425 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.
Senior Designated Support Engineer
P-1553 As a Senior Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have - Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. - Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. - Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. - Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. - Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. - Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. - Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. - Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. What We Look For - Technical Expertise in Big Data and Spark: 5 – 8 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. - Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc - Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. - Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. - Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. - Advanced Proactive Problem Solving Skills : Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. - Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions. 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.
Senior Data Scientist
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here. The impact you will have: - Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis. - Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts. - Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience. - Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review. - Build self-serving internal data products to make data simple within the company. What we look for: - Experience in applying Data Science / ML in production to build data-driven products for solving business problems. - Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis. - Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations. - Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. - Proficient in data analysis and visualization using tools like R and Python. - Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL. - BS/MS/PhD in Computer Science, or a related field About Databricks Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . 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. 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 $123,200 - $218,000 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.
Senior Customer Enablement Program Manager
CSQ427R4 Senior Customer Enablement Program Manager, New Learning Experiences As a Senior Program Manager within the Global Scaled User Enablement Practice, you will have the unique opportunity to design and launch new learning experiences that expand how Databricks enablement upskills and activates users globally. You will report to the Global Scaled User Enablement Practice Leader and will own the strategy and execution of new scaled user learning programs, from pilot to global scale. You will bring an AI-first mindset to how learning is designed and delivered. Leveraging data, automation, and intelligent tooling to scale impact, while never losing sight of the human experience at the center of every program. You will leverage your expertise in program management, AI & data science, or equivalent enterprise technologies and stakeholder engagement to build compelling enablement experiences and drive adoption across GTM teams. This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for building new learning programs from the ground up and working across departments and regions. The impact you will have: - Build and launch new learning programs end-to-end in close partnership with with teams across Learning & Enablement, Operations, Regional Business and GTM - Marketing, Sales and Field Engineering - Design and scale innovative learning programs within Databricks Free Edition, turning the platform into a world-class entry point for Learner growth and User adoption globally - Define learning initiatives for emerging technical audiences, such as App Developers and Database Admins, in close partnership with Product, Content Development, and Regional Program Managers to design, pilot, and scale learning programs globally - Track program performance and drive accountability through data-driven reporting and actionable insights What we look for: - 6+ years of technical program management and stakeholder management experience in an enterprise technology company - Impact-driven with a growth mindset, embraces change, adapts quickly, and see ambiguity as an opportunity - Experience designing and launching new programs or pilots from zero to one, with the ability to navigate ambiguity and work independently with minimal direction - Experience in Big Data, AI, data science, or equivalent enterprise technologies preferred - Ability to develop compelling stories based on data and motivate stakeholders and leaders to action - Experience creating scalable and simple processes and resources that are adopted by cross-functional teams - Experience working in or with product and go-to-market teams, such as professional services, customer success, marketing, sales - Strong understanding of enablement programs and training methodologies - Strong communications and presentation skills Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $117,400 - $161,350 USD Zone 2 Pay Range $105,600 - $145,200 USD Zone 3 Pay Range $99,800 - $137,150 USD Zone 4 Pay Range $93,900 - $129,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Customer Enablement Architect
CSQ128R2 Mission: At Databricks, we’re on a mission to help data and AI teams solve the world’s toughest problems and that starts with empowering our customers. The Customer Enablement team drives this mission forward by helping enterprise organizations develop the skills they need to accelerate adoption, transformation, and measurable business outcomes. As a Customer Enablement Architect, you’ll own the commercial success of Databricks’ training and enablement portfolio across the Americas Business Units. Reporting to the Americas Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts. This is a highly visible, customer-facing role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. You’ll work closely with account executives, engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. From diagnosing skill gaps to building tailored enablement roadmaps, you’ll ensure our customers have the knowledge and confidence to realize the full value of their Databricks platform. The impact you will have: - Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit. - Partner with sales and customer success teams to position learning as a key lever of customer adoption, renewal, and expansion. - Translate customer goals into tailored enablement programs that accelerate transformation and ROI. - Lead the end-to-end lifecycle of customer training programs—from discovery and design through execution and post-program analysis. - Conduct learning diagnostics to identify skill gaps and adoption blockers, using data to design impactful training strategies. - Deliver high-quality, blended learning experiences (virtual, classroom, and on-demand) that achieve measurable customer outcomes. - Track and report on enablement success metrics, including adoption, renewal influence, and revenue impact. - Mentor colleagues across the Learning & Enablement organization, sharing best practices and driving excellence in customer engagement. What we look for: We are looking for a 'Builder'—someone who pairs a deep curiosity for the evolving Data & AI landscape with a relentless drive for execution. You don't just deliver existing programs; you identify whitespace and pilot creative enablement strategies that challenge the status quo. You will transform vision into reality by staying curious about customer roadblocks and innovating new ways to bridge the gap between technical potential and tangible business value. - Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space. - Deep understanding of the Americas enterprise landscape, industry verticals, and cultural nuances in driving customer engagement and training adoption. - Strong background in program management, enablement strategy, and learning & development design. - Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI. - Excellent communication, relationship building, and consultative sales skills with fluency in English. - Results-driven mindset with the ability to balance customer satisfaction and revenue goals. - Demonstrated ability to learn new technologies quickly and apply creative solutions to territory-specific customer roadblocks. - Proven track record of identifying regional whitespace and building scalable enablement frameworks that influence the broader organization. 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 $143,700 - $197,550 USD Zone 2 Pay Range $129,300 - $177,750 USD Zone 3 Pay Range $122,200 - $167,950 USD Zone 4 Pay Range $115,000 - $158,050 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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