Staff Data Scientist at Databricks | San Francisco, CA

P-1125 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems, ranging from security threat detection to advancing cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are dedicated to creating highly sophisticated products that address vital needs in the world. We relentlessly push the boundaries of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform. Customers place their utmost trust in Databricks with their most valuable data, and our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. The customer journey on our platform begins with Authentication, and we are seeking senior leaders like you to shape the vision and define the strategy for this critical area. Your Impact: Establish and implement a long-term vision for Authentication that harmonizes robust security with a seamless user experience. Attract and mentor elite engineering talent to enhance our security infrastructure. Serve as the advocate for Security Engineering across the organization, influencing data-driven decisions at the executive level. Showcase Databricks’ security innovations at prominent academic and industry conferences. What We Seek: 10+ years of experience in Data Security or related fields, with expertise in two or more areas such as Authentication, Network Security, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Experience in building systems for large-scale internet enterprises is a significant advantage. 15+ years of experience in developing large-scale distributed systems with high availability. Proven leadership skills to guide efforts across functional and organizational boundaries. Exceptional communication abilities to articulate and advocate for Data Security to senior leadership throughout the organization. A proactive mindset with a strong commitment to delivering high-quality solutions. Master’s or Ph.D. in Computer Science or a related discipline. This position is open to remote candidates.

Join our dynamic team at Databricks as a Senior Financial Analyst, where you'll play a pivotal role in shaping our financial strategy and enhancing our decision-making processes. This is an exciting opportunity for finance professionals who are passionate about leveraging data to drive business success.

Join Databricks as a Financial Analyst within our Sales Finance team, part of the FP&A organization. In this role, you'll work closely with the Senior Manager of Finance to drive strategic financial insights that will optimize our investments for long-term growth.Your responsibilities will include serving as a trusted advisor to Sales and Finance leadership, delivering actionable insights and recommendations that foster sustainable growth. You will enhance forecast reliability, improve corporate reporting, establish robust processes, and scale our systems to support business expansion. Key tasks include analyzing product usage trends, tracking key performance metrics, and collaborating on executive-level presentations.

About UsAt Databricks, we are pioneering the future of GenAI observability and quality. Our innovative product empowers organizations with sophisticated monitoring and insights for GenAI systems, offering real-time visibility into performance and a comprehensive toolkit for enhancing system quality. Featuring cutting-edge functionalities such as real-time alerts, detailed logging, and anomaly detection, we enable our clients to swiftly identify and remedy issues impacting their GenAI systems. Join us to leverage next-generation tools for ongoing monitoring, testing, and feedback, while utilizing advanced technologies like AutoML/AutoRag, LLM fine-tuning, and Prompt Optimization to elevate the performance and quality of GenAI systems.We are seeking a motivated and skilled Senior Full-Stack Software Engineer to become an integral part of our vibrant team. This position offers the chance to engage in both front-end and back-end development, allowing you to manifest your strong product sense and UI/UX design skills. The ideal candidate will possess a proven history in full-stack development, with expertise in creating intuitive and engaging user interfaces, as well as architecting scalable and efficient backend systems.

Join Databricks as a Senior Manager in Commissions FP&A, a pivotal role where you will lead the GTM Finance team's commission planning, forecasting, and analytics. You will collaborate closely with the Sales Compensation Strategy and Sales Strategy teams during the annual planning and design cycles. Additionally, you will engage with Accounting to streamline the monthly accrual process and work with GTM Finance partners to deliver insightful analyses on compensation plan success.This strategic position offers a unique opportunity to influence one of the most critical investment areas in our go-to-market strategy.Your Impact:Collaborate with the Sales Compensation Strategy team to align annual compensation plans with business objectives.Oversee the cost modeling for compensation plans, designing quota guardrails, accelerator rates, and managing overassigned quotas to balance commission payouts with performance goals.Develop and uphold a comprehensive commissions forecast, utilizing actuals and anticipated top-line performance to assess budget variances and provide analytical insights to partners.Manage the monthly commissions accrual process, delivering key variance insights to Finance leadership.Conduct ad hoc analyses, offering recommendations for mid-year investments and modifications to compensation plan designs.

Join Databricks as the Director of Engineering Governance!Databricks is the Lakehouse company. Over 7,000 organizations globally—including industry leaders like Comcast, Condé Nast, and H&M, as well as over 50% of the Fortune 500—trust the Databricks Lakehouse Platform to unify their data, analytics, and AI needs. Our headquarters in San Francisco is complemented by offices worldwide. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, we are dedicated to assisting data teams in addressing the world's most challenging problems. Discover more about our journey on Twitter, LinkedIn, and Facebook.For further insights, visit www.databricks.com.About the TeamWe are on the lookout for a highly technical and influential Director of Engineering Governance to spearhead the integration of security, privacy, and responsible data practices into the core of Databricks’ products and infrastructure. This role transcends traditional program management; it involves architecting and scaling engineering platforms, guardrails, and operational models that ensure secure and compliant product development is the norm within our rapidly growing, multi-cloud environment.This strategic, hands-on technical leadership position will have a significant cross-company impact. You will lead a team of senior security engineers, collaborate with product and infrastructure leaders, and shape the foundational governance systems that empower Databricks to innovate swiftly while upholding exceptional security and customer trust.

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

P-160 About Us At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world — from transforming the next mode of transportation into a reality to expediting the development of medical innovations. We achieve this by developing and operating the leading Data Intelligence Platform, enabling our customers to leverage profound data insights that enhance their operations. Founded by engineers with a customer-centric approach, we eagerly embrace every opportunity to confront technical challenges, whether it involves designing next-generation UI/UX interfaces for data interaction or scaling our services and infrastructure across millions of virtual machines. Our journey is just beginning. As a Senior Full Stack Software Engineer, you will collaborate with your team and product management to simplify data insights for our users. We seek engineers who are customer-focused and capable of overseeing the entire product lifecycle, extending beyond mere technical execution. You will lay the groundwork for creating robust, scalable, and delightful products. Below are examples of experiences you will design for our customers, facilitating the complete project lifecycle from data loading and results visualization to statistical model creation and production deployment: User-friendly workflows for creating, configuring, and managing large-scale compute clusters, networks, and data sources. Develop, deploy, test, and upgrade intricate data pipelines, featuring powerful visual data graphs. Streamlined onboarding and management for all organizational members to adopt a data-driven approach. Exceptional SQL-centric data exploration and dashboarding experience on Databricks. An interactive environment for collaborative data projects at scale, with a straightforward path to production.

P-1125SummaryAt Databricks, we are dedicated to empowering data teams to tackle some of the world's most pressing challenges, from detecting security threats to advancing cancer drug research. We achieve this by developing and maintaining a world-class data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are vital to their missions.Our engineering teams create sophisticated products that address real and significant needs. We continuously strive to push the frontiers of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform.Our clients entrust Databricks with their most sensitive data, and the Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a key role in Trust & Safety by safeguarding customer data from malicious threats. We are seeking senior leaders like you to shape the vision and strategy in this crucial area.

Databricks is on the lookout for a strategic and seasoned Senior Compensation Manager to partner closely with our founders and senior leadership in the R&D organization, focusing on our technology and product teams. As a pivotal member of the Compensation team, this role reports directly to the Senior Director of Compensation and plays a crucial part in aligning compensation strategies with our long-term business objectives. You will co-create compensation models designed to attract, retain, and motivate exceptional technical talent.At Databricks, we perceive compensation not merely as a figure but as a vital tool for acknowledging that every employee is an owner, contributing to our collective success. We seek a team member who embodies this philosophy and has a proven track record of success in compensation management.

Join Databricks as a Director of Engineering GovernanceAt Databricks, we are the Lakehouse company, empowering over 7,000 organizations globally—including industry leaders like Comcast, Condé Nast, and H&M—to harness the power of data, analytics, and AI through our innovative Lakehouse Platform. Our headquarters is located in San Francisco, with a dynamic presence around the world.Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, our mission is clear: to assist data teams in tackling the world's most challenging problems. Learn more about us on Twitter, LinkedIn, and Facebook.To discover more, visit www.databricks.com.About the TeamWe are on the lookout for a highly skilled and influential Director of Engineering Governance to lead our efforts in integrating security, privacy, and responsible data practices into the core of Databricks’ products and infrastructure. This role goes beyond merely managing programs; it involves architecting and scaling robust engineering platforms and operating models that foster secure and compliant product development across a rapidly evolving, multi-cloud ecosystem.In this strategic, hands-on leadership position, you will guide a talented team of senior security engineers, collaborate with product and infrastructure leaders, and establish foundational governance systems that empower Databricks to innovate swiftly while maintaining top-tier security and customer trust.

Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission Join our team as a Solutions Architect, where you will play a pivotal role in empowering large enterprises to harness the full potential of their data. Collaborating closely with the Enterprise Account Executive (AE), you will define and implement the technical strategy for our most significant accounts, driving deeper and wider adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and leadership will be key in maximizing client success. You will work alongside a dedicated team that builds proofs of concept and showcases Databricks' innovative products. A strong technical understanding of ML and AI applications across various use cases relevant to the High Tech and Manufacturing sectors is essential. Outcomes Act as the primary technical voice for Databricks across multiple clients. Guide customers through a transformational journey, facilitating their evaluation and adoption of Databricks solutions. Implement tailored technical strategies within accounts based on a deep understanding of their needs. Foster a network of technical champions within client organizations. Align technical strategies with Databricks solutions effectively. Provide structured mentorship to enhance the skills of team members. Earn respect from peers through your experience, insights, and contributions. Competencies: Expertise in establishing and leading virtual teams to achieve success within client accounts. Experience managing large global accounts with an annual recurring revenue (ARR) exceeding $1 million. Ability to build relationships with executives and key influencers. Skill in presenting persuasive viewpoints to decision-makers, steering them toward successful outcomes. Strong technical background in big data, data science, and cloud technologies. Proven ability to drive data-driven business transformation. Programming experience in Python, R, Scala, or Java. Preferred: Databricks Certification.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have consistently focused on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, we have driven autonomously over 100 million miles on public roads and conducted simulations totaling tens of billions of miles across 15+ U.S. states.The Planner Evaluation team tackles a pivotal challenge in autonomous driving: assessing and enhancing the quality of software that operates the vehicle. We seek passionate and experienced software engineers and data scientists who are data-driven and eager to refine how we assess and characterize modifications to our onboard software stack (including Planner and Perception). If you are enthusiastic about autonomous vehicles and adept at utilizing complex data to influence decision-making, we invite you to apply for this exciting opportunity!

Role overview The Principal Research Scientist – Scaling at Databricks leads research projects that advance how the company’s data analytics platform handles large workloads. This San Francisco-based role focuses on designing and improving algorithms that enable efficient large-scale data processing and machine learning. Collaboration is central, with regular work alongside engineering, product, and research teams. What you will do Lead research to develop algorithms that scale for data analytics applications. Work with colleagues across engineering, product, and research to strengthen machine learning capabilities. Use deep expertise to shape the direction and architecture of the Databricks platform. Drive new ideas and solutions that influence the future of data science and analytics at Databricks. Location This role is based in San Francisco, California.

P-150 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

Are you a dedicated Developer Advocate with a passion for bridging the gap between technology and the developer community? If you thrive on connecting with others, hosting engaging events, and diving into the nuances of application development and developer experience, we want to hear from you!As a Senior Developer Advocate at Databricks on the Neon DevRel team, you'll play a pivotal role in linking our engineering teams with an expanding community of application and agent developers utilizing Postgres and Neon. Your technical acumen will be essential in maintaining and enhancing our SDKs, educating users, and shaping the future of Agent and Developer Experience (AX & DX) for Neon.Developer experience will be central to your responsibilities. You will help enhance our TypeScript SDK and CLI, manage Neon’s MCP server, and develop other developer-oriented tools, all while keeping ahead of the evolving AI landscape. Your expertise in DevTools and AX will be shared through presentations, meetups, blog articles, videos, and community interactions, empowering developers to build more effectively with Neon and demonstrating our commitment to exceptional Developer Experience (DX) and Agent Experience (AX).Collaboration will be key as you work closely with the neon.com community, product teams, and engineering staff, ensuring that developer feedback directly influences product direction. You'll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to create a cohesive and impactful strategy for agent experiences.The ideal candidate will embody the core values of our DevRel team: a profound enthusiasm for application development, strong empathy for developer needs, and the ability to convey complex concepts with clarity and effectiveness.In this role, you’ll foster and expand the Neon community through top-notch technical content and hands-on experiences, continuously feeding insights back into the product to further enhance the developer experience.

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

Join Databricks as a Senior Technical Marketing Engineer, where you will play a pivotal role in empowering developers and data teams to create data-native applications utilizing Lakebase and Databricks Apps. Lakebase offers a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps enables the secure building and deployment of applications that operate close to governed data and models.In this impactful role, you will be responsible for guiding teams through the end-to-end project lifecycle, translating platform capabilities into actionable insights via demos, reference architectures, and technical content. You will collaborate closely with product, engineering, and field teams to ensure the successful application of Lakebase and Databricks Apps in real-world scenarios.

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.