GAQ227R179

Location: We're looking to hire for this role locally to our offices based in Washington D.C., Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.

Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.

You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.

The impact you will have:

• Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.
• Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market efforts.
• Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
• Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
• Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and Privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.

What we look for:

• Minimum of four (4) years of technology transactions experience either at a law firm and/or in-house Attorney role.
• Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
• Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
• Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period.
• Outstanding written and verbal communication skills.
• Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.
• JD and good standing to practice law in the relevant jurisdiction

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R130

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

More about the team: 

A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.

We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.

You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

RDQ427R130

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

More about the team: 

A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.

We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.

You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

GAQ127R55

Location: This position will be based in Seattle, Bellevue, Denver, or Chicago.  This will be a hybrid role with in-office expectations. 

About the Role:

Databricks is seeking a Sr. Contracts Negotiator to support our growing Healthcare and Life Sciences (HLS) commercial business. Reporting to the Director, Assistant General Counsel, you will negotiate and close complex commercial transactions with HLS customers, including Master Cloud Services Agreements (MCSAs), Business Associate Agreements (BAAs), Data Privacy Agreements, NDAs, Statements of Work, and Order Forms, often addressing topics such as data privacy, information security, intellectual property, and emerging technologies, including AI.

This role is ideal for someone who loves commercial transactions, excels at navigating complex contract issues, and takes pride in helping close strategic, high-impact deals that move the business forward in a fast-paced, collaborative environment.

What You Will  Do

• Negotiate, draft, and close commercial agreements (including MCSAs, Order Forms, and BAAs) with HLS customers, ensuring compliance with company policies, data privacy, information security, and applicable healthcare regulations.
• Support assigned Attorneys on complex or strategic transactions and assist in driving deal execution for key accounts.
• Partner with Sales, Finance, Product, and Compliance teams to facilitate revenue-generating transactions while managing legal and commercial risk.
• Triage and manage incoming contracting requests using Databricks’ contract lifecycle management (CLM) tools, ensuring timely review, accurate routing, and collaboration with cross-functional stakeholders to resolve issues efficiently.
• Streamline contracting processes and workflows, and contribute to improving templates and HLS-specific playbooks to support scale and consistency.
• Advise on commercial and operational risks by developing subject-matter expertise in HLS customer transactions and Databricks’ contracting framework.
• Contribute to Legal team OKRs and strategic initiatives, including contract lifecycle management enhancements and cross-functional projects.

Who you Are

• Bachelor’s degree or equivalent.
• 5+ years of commercial contract negotiation experience, ideally supporting sales teams at cloud-based or SaaS technology companies.
• Familiarity with healthcare and life sciences regulatory frameworks, including HIPAA compliance, Business Associate Agreements (BAAs), and related data privacy and information security requirements.
• Strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Process-oriented mindset with experience improving contracting workflows and driving operational efficiency.
• Effective communicator with the ability to build strong relationships and collaborate across internal teams and with customers.
• Proactive, organized, and dependable — you take initiative, communicate early and clearly, and keep cross-functional partners informed as deals progress.
• A fast learner who’s curious about Databricks’ products and not afraid to ask questions or seek guidance from colleagues when tackling complex issues.

RDQ127R133

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 Performance Engineering team works closely with multiple teams across the company to evaluate the performance of products and features, identify performance bottlenecks, and partner with engineers to solve performance and scalability issues. This implies, among other things, setting performance targets for various software releases, guiding teams to develop performance benchmarks, running competitive benchmark analysis for different Databricks products, doing deep dive analysis to identify performance issues and fix them. As the Sr. Engineering Manager, you will build partnerships with various engineering organizations, drive performance and scalability projects across these teams to deliver the fastest and most cost effective solutions in the market.

Key Responsibilities

• Technical Leadership: You will lead and guide the team to Identify performance limitations of the entire stack based on telemetry, customer signals, PoCs, and competitive benchmarks, that will result in the best performing system across the industry, when resolved.  
• Team Development: You will oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
• Cross-Functional Collaboration: Work closely with product and infrastructure teams to align strategy, execution, and roadmap in alignment with organizational goals and priorities.

What We Look For

• 5+ years experience in the performance analysis discipline. Ability to identify performance issues, root cause problems, and be able to come up with potential solutions. 
• Ability to build strong working relationships with developers and field engineers to facilitate triaging and mitigation of performance problems.
• At least  3 years of experience in managing top-tier engineering teams
• BS in Computer Science (Masters or higher level of education preferred)
• Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.

RDQ127R236

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
• Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
• Collaborate with leadership to align product initiatives with business goals.
• Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
• Deep understanding of data platforms, the compute products that power them, and compute use cases.
• Educational background in computer science or related engineering practice.
• Experience working with engineers and designers to ship high-impact and cross-functional products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.

RDQ127R236

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features.

This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless)
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution.
• Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products.
• Collaborate with leadership to align product initiatives with business goals.
• Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience, preferably in cloud, analytics, or data platforms.
• Deep understanding of data platforms, the compute products that power them, and compute use cases.
• Educational background in computer science or related engineering practice.
• Experience working with engineers and designers to ship high-impact and cross-functional products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• Experience in working hand-in-hand with enterprise customers and ISV partners in the data market.

P-988

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.
• 8+ 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).

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).

RDQ126R47

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.

Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability.

We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog’s enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale.

Key Responsibilities

• Technical Leadership: Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization.
• Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact.
• Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features.
• Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect.

What We Look For

• 15+ years of industry experience building and operating large-scale distributed systems.
• Proven track record of driving initiatives focused on customer satisfaction and incremental delivery.
• Deep computer science expertise (algorithms, data structures) with real-world application.
• Strong leadership, communication, and cross-functional collaboration skills.
• BS in Computer Science or related fields (MS/PhD preferred)
• (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control.

Why Join Us?

• Influence the direction of industry-leading data and AI governance solutions.
• Work with world-class engineers and thought leaders in a collaborative, high-impact environment.
• Competitive compensation, comprehensive benefits, and opportunities for professional growth.

P-940

(Position Location is open to both our Seattle & Bellevue offices.)

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 software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: 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.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies

• BS/MS/PhD in Computer Science, or a related field
• 10+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Experience in architecting, developing, deploying, and operating large scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.
• Experience with software security and systems that handle sensitive data.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

P-940

(Position Location is open to both our Seattle & Bellevue offices.)

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 software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: 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.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies

• BS/MS/PhD in Computer Science, or a related field
• 10+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Experience in architecting, developing, deploying, and operating large scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.
• Experience with software security and systems that handle sensitive data.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

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

Staff Software Engineer - Money Team

P-940

At Databricks, we are obsessed with Data + AI 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 6500 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.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

What we look for:

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Staff Frontend 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.

• Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model. 
• Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing.
• Deliver unified frontend data clients and service components.
• Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences.
• Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features. 
• Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption).

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript/TypeScript
• Experience leading large multi-quarter efforts with a demonstrated customer or business impact
• Passion for user experience and design and an understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• Familiarity with server-side web technologies is a plus
• Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
• Experience building large-scale products

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
• Mental wellness resources