Director of Engineering Governance at Databricks | Bellevue, WA

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.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

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-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.

Axon Enterprise develops devices and cloud software aimed at improving safety and justice. Teams value honesty, compassion, and diverse perspectives, working together to make a meaningful impact. The company encourages initiative and personal growth, recognizing the importance of each person’s contribution. Role overview The Principal Data Scientist will join the Office of the Chief Accounting Officer in San Francisco. This position blends technical data science work with strategic collaboration across finance and technology groups. A strong background in finance and accounting is required for success in this role. Main focus Half of the role involves building data analytics tools and pipelines, using AI to speed up large-scale projects such as mergers and acquisitions integration, ERP deployments, data remediation, and SOX compliance. The other half centers on partnering with Controllership, Finance Operations, FP&A, Internal Audit, and Technology to lay the groundwork for AI, automation, and audit readiness. Daily tasks will include using AI-assisted development tools, such as code generation and large language models. Key responsibilities Design and implement data analytics tools, automated validation frameworks, and dashboards to provide Finance Operations and Controllership with real-time insights into data quality across enterprise systems. Use AI to quickly prototype, test, and deploy these solutions. Collaborate with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to address data issues at their source and improve upstream data integrity. Maintain data dictionaries, lineage documentation, and quality scorecards for core controllership data assets. Set and enforce standards for master data management (MDM). Work with the Chief Information Officer and IT to develop integration strategies that enable seamless data flow.

Join Databricks, where we are dedicated to creating the most advanced and secure platform for data and AI. Our commitment to innovation drives us to develop cutting-edge solutions in security, compliance, and governance.As a vital member of the Trust and Safety Data Science team, you will engage in projects that are essential for maintaining the security and regulatory compliance of the Databricks Platform. Our clients rely on Databricks to safeguard their data while managing millions of virtual machines across three clouds in numerous regions worldwide.Our engineering teams design highly sophisticated products that address significant real-world challenges. We continuously strive to push the limits of data and AI technology, all while ensuring the security and scalability that are crucial for our customers' success on our platform. We cater to a diverse array of companies with different security and compliance needs. Understanding how our customers utilize our existing features is imperative, involving comprehensive, data-driven analysis of all facets of Databricks' security programs.Customers entrust us with their most critical data, and our mission is to establish the most reliable data analytics and machine learning platform globally. We are expanding our Trust and Safety Data Science team and seek talented individuals to join our group of “full stack” data scientists. Collaborating closely with engineering and security teams, you will focus on strategic initiatives that enhance the security and safety of Databricks for our clients. Our team employs advanced statistical and machine learning techniques to detect fraud and abuse across our platforms, utilizing state-of-the-art methodologies. For insights into our initiatives, check out our blog post. Engaging in fraud and abuse detection is dynamic and crucial, offering you a chance to significantly impact the security and efficiency of business operations.For further information, please visit https://www.databricks.com/trust.

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.

Join Databricks as a Senior Product Manager for Unity Catalog, where we are dedicated to empowering data teams to tackle the world's most pressing challenges. Our innovative data and AI infrastructure platform is designed to help customers harness deep insights to enhance their business operations. Founded by engineers and driven by customer feedback, we eagerly take on technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines.In this role, you will oversee all product activities for Unity Catalog, the foundational metadata and governance layer for the Lakehouse. This includes implementing fine-grained security, governance capabilities, and productivity features like data lineage, search, discovery, auditing, and compliance for our customers' data and AI assets.Your responsibilities will involve coordinating product vision to implementation, engaging with large enterprise clients to ascertain their needs, developing strategic product roadmaps, collaborating with engineering to bring products to life, and liaising with various internal stakeholders to ensure successful product outcomes.Your Impact:Design and implement new governance and security features as part of Unity Catalog.Define and develop platform services that empower Databricks’ data & AI product teams, including ML/AI, Data Science & Engineering, and Data Warehousing, to seamlessly integrate workload-specific governance enhancements.Drive the lifecycle of new features from ideation through customer engagement to launch, including marketing strategies and ensuring broad customer adoption across all segments.Provide insights on the data governance landscape, customer needs, and market trends to engineering and leadership teams through close collaboration with customers and partners.

Join Databricks as a Solutions Architect specializing in the Retail sector, where you'll leverage your extensive experience in pre-sales to empower large enterprises in their journey towards becoming more data-driven. In collaboration with our Account Executives, you will craft and execute the technical strategy for our most significant accounts, driving the adoption of machine learning and artificial intelligence technologies. Your strong background in value selling, technical account management, and leadership will be pivotal in maximizing our clients' success. As part of a dynamic team, you will work alongside technical experts who will assist in building proofs of concept and showcasing the capabilities of Databricks products. A solid understanding of ML and AI applications relevant to the Retail and Consumer Packaged Goods (CPG) sectors is essential.

We are seeking a seasoned Solutions Architect with a strong pre-sales background to join our team at Databricks, focusing on the Retail and Consumer Packaged Goods (CPG) sectors. This role involves collaborating closely with Account Executives to define and implement technical strategies for our most significant clients, helping them leverage data-driven solutions to enhance their operations through Machine Learning (ML) and Artificial Intelligence (AI).Your expertise in value-based selling, technical account management, and leadership will be vital in driving the successful adoption of our products. You will guide a select number of clients on their transformational journey, ensuring they fully integrate Databricks into their strategies while fostering a community of technical champions within their organizations.

Join us in shaping the future of data and AI with Databricks SQL!At Databricks, we empower enterprises and startups globally by delivering cutting-edge Data & AI solutions. Our Databricks SQL (DBSQL) product stands at the forefront of next-generation AI-powered cloud data warehousing, enabling businesses to efficiently query, visualize, and make real-time decisions at scale. Recognized as the fastest-growing data warehouse globally, DBSQL is revolutionizing the industry.We are seeking a dynamic, strategic, and customer-focused Product Manager to drive innovation, define our roadmap, and guide DBSQL through its next phase of expansion.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

As an Emerging Enterprise Account Executive at Databricks, you will master the SaaS sales process and drive innovation by expanding customer visions and accelerating decision-making cycles. Your passion for understanding our product in depth will empower you to effectively communicate its value to customers and partners alike. Proactively seeking new opportunities, you will take the lead in closing new accounts. In addition to the excitement of closing deals, we offer attractive accelerators for exceeding 100% of your quota. You will report directly to a regional sales manager.Your Impact:Strategize and engage all buying centers within your accounts.Utilize a solutions-oriented sales approach to deliver value to customers.Identify key use cases in each account to maximize Databricks' impact.Collaborate with teams to enhance the ecosystem's effectiveness.Build value in all interactions to facilitate successful negotiations.Champion the Databricks enterprise cloud data platform powered by Apache Spark.Focus on customer success by achieving technical and business results with the Databricks Platform.Foster a collaborative team environment, because teamwork makes the dream work!

Join Databricks as an exceptional Finance Manager on our FP&A team, dedicated to empowering data teams to tackle the world’s most challenging problems. This role offers the chance to strategically analyze growth drivers and collaborate with our Go-To-Market (GTM) team to make a significant impact.As a finance expert with experience in hyper-growth environments, you will independently address complex problems, leverage your extensive financial analysis skills, and confidently communicate insights to senior leadership. You will approach new challenges with first principles thinking to devise effective solutions.Your contributions will include:Utilizing analytical skills to solve problems through comprehensive data gathering and summarization to facilitate efficient executive decision-making, leading the recommendation process from start to finish.Fostering strong, trusted relationships with teams across Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their technical counterparts.Developing innovative solutions for data-related challenges, presenting insights through clear narratives and engaging presentations.Creating and maintaining financial and operational models to provide real-time forecasts for essential financial metrics.Collaborating with the GTM team to propose and implement strategies that enhance key financial indicators.Driving process improvements, standardization, simplification, implementing necessary controls, and enhancing reporting capabilities.

Databricks seeks a Commercial Account Executive to work with organizations that use data to create impact in their industries. This position fits sales professionals who bring both creativity and initiative, along with a strong background in handling transactional and strategic sales cycles. The main focus is to help customers understand Databricks products and support them as they make key decisions. Key responsibilities Find and develop new business opportunities within an assigned territory Secure new accounts while maintaining and growing relationships with current customers Guide clients through the sales process and help them see the broader value Databricks can provide Work to meet and exceed sales quotas, with accelerators available for performance above 100% of target Report directly to a regional sales manager Locations Austin, Texas Boston, Massachusetts Chicago, Illinois Denver, Colorado New York City, New York San Francisco, California Seattle, Washington Washington, D.C.

Company Overview: At Databricks, we are dedicated to empowering data teams to tackle some of the world’s most challenging issues, ranging from security threat detection to breakthroughs in cancer drug development. We achieve this by creating and operating the premier data and AI platform, allowing our clients to concentrate on the high-value challenges central to their missions. The Mosaic AI division equips organizations to develop AI models and systems utilizing their own data, utilizing technologies that span from fine-tuning large language models (LLMs) for specific enterprise domains to building complex AI systems that incorporate retrieval and agents. We believe that a company's AI models are as valuable as any other intellectual property and that high-quality AI models should be accessible to all. Job Summary: Our research team is focused on advancing the boundaries of “domain adaptation” — discovering how to create LLMs and AI systems that excel in specialized domains. We are investigating open research challenges across a variety of themes, including scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and optimizing inference speed and efficiency. As a PhD GenAI Research Scientist Intern, you will collaborate with our research team on projects that aim to adapt LLMs and AI systems for enterprise settings. Your tasks may include: Enhancing, refining, and assessing methodologies from existing literature. Designing novel approaches for effective domain adaptation. Combining various methods to formulate innovative strategies for efficient post-training. Conducting evaluations of LLMs and AI systems.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems. Our Databricks Free Edition provides a platform where students, enthusiasts, and aspiring professionals can engage with data and AI directly, building the skills and confidence needed to shape the future. We are in search of a Senior Product Manager to be a key player in steering the Databricks Free Edition initiative. In this role, you will work closely with a diverse team of product managers, engineers, and designers to craft experiences that make learning data and AI both engaging and accessible.

P-256 Join our dynamic team at Databricks as a Solutions Architect specializing in the retail and consumer packaged goods (CPG) sector. We seek seasoned pre-sales professionals with a proven history of empowering large enterprises to adopt data-driven strategies. In collaboration with the Account Executive (AE), you will define and drive the technical strategy for our most critical accounts, fostering deeper engagement with our products and expanding the adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your role will leverage your expertise in value selling, technical account management, and technical leadership to enhance success in these accounts. While collaborating with a team of hands-on resources to build proofs of concept and showcase Databricks' offerings, you will need to possess a solid technical foundation and an understanding of the relevance and application of ML & AI across various use cases crucial to our retail and CPG clients. Your Impact: Serve as the primary technical advocate for Databricks with 1-5 clients. Lead customers through a transformational journey, assisting them in evaluating and integrating Databricks into their strategy. Execute the technical strategy within the account while closely aligning with the overarching business goals. Foster a community of technical champions within the account. Align technical strategies with Databricks solutions to drive mutual success. Provide structured mentorship and guidance to fellow team members.

Role Overview The Business Intelligence Manager at Databricks shapes how business users interact with data and AI on the Databricks platform. This role focuses on building secure, interactive applications that help teams turn raw data into practical insights. The position is based in New York or San Francisco. What You Will Do Build: Design and develop frontend interfaces and API backends. This includes setting up FastAPI to route user queries to model-serving endpoints, and delivering solutions from data dashboards to enterprise chat tools using the Mosaic AI Agent Framework. Architect: Create secure, scalable application architectures that support custom SaaS offerings and meet go-to-market needs. Scale: Develop applications that connect to Databricks SQL through the Statement Execution API or Databricks SDK. Set up CI/CD pipelines with Declarative Automation Bundles (DABs) to automate deployments across development, staging, and production. Key Technologies Streamlit React FastAPI Databricks Apps serverless infrastructure Locations New York San Francisco, California