Director of Engineering Governance

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.

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.

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.

As the Director of Corporate Engineering at Databricks, you will lead global enterprise engineering and operations. This pivotal role involves building and managing a highly skilled engineering team, crafting foundational strategies, and ensuring robust enterprise security. You will be tasked with engineering, securing, and optimizing cloud infrastructure, enhancing Identity and Access Management, managing Endpoints and Collaboration tools, and ensuring compliance with standards such as SOX, PCI DSS, and FedRAMP. Collaborating closely with R&D, you will oversee the management of engineering tools such as Jira, Confluence, and GitHub, promoting efficient adoption and integration. Strong technical acumen and influential leadership skills are essential for navigating a complex and rapidly evolving enterprise environment.

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.

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.

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.

Join Databricks as a Senior Backend Software Engineer and contribute to solving some of the world's most challenging problems. We empower data teams through our state-of-the-art data and AI infrastructure platform, enabling businesses to leverage deep data insights for transformative growth. At Databricks, founded by engineers and driven by a customer-first philosophy, we tackle technical challenges with enthusiasm — from designing next-gen UI/UX for data interfacing to scaling our services across millions of virtual machines.In this role, you will collaborate closely with your team to develop scalable infrastructure and innovative products for the Databricks platform.

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.

At Databricks, we are driven by our mission to empower data teams to tackle the world's most challenging problems—whether it's realizing the next mode of transportation or accelerating medical advancements. Our dedication is to build and operate the premier Data and AI infrastructure platform, enabling our clients to harness deep insights from data to enhance their operations. We are on the lookout for a Senior Engineering Manager to join our Photon team, playing a pivotal role in defining the next generation of ultra-fast, scalable data processing solutions. In this role, you will lead a team of exceptional engineers working on Photon—the innovative query engine that powers Databricks' groundbreaking Lakehouse Platform. This is a unique opportunity to drive innovation on a grand scale, optimize data systems for tangible results, and collaborate with top experts in query optimization, execution, storage, and large-scale analytics. If you are passionate about empowering teams, architecting groundbreaking technologies, and accelerating analytics for millions of users, we invite you to join our team.

About This Role Join Databricks as a Software Engineer focused on GenAI inference, where you will play a pivotal role in designing, developing, and enhancing the inference engine that drives our Foundation Model API. Collaborating at the intersection of research and production, you will ensure our large language model (LLM) serving systems are optimized for speed, scalability, and efficiency. Your contributions will span the entire GenAI inference stack, from kernels and runtimes to orchestration and memory management. What You Will Do Participate in the design and implementation of the inference engine, collaborating on a model-serving stack tailored for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features such as sparsity, activation compression, and mixture-of-experts into the engine. Optimize latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Build and maintain tools for instrumentation, profiling, and tracing to identify bottlenecks and inform optimization efforts. Develop scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads. Ensure reliability, reproducibility, and fault tolerance in inference pipelines, including A/B launches, rollback, and model versioning. Integrate with federated and distributed inference infrastructure, orchestrating across nodes, balancing load, and managing communication overhead. Engage in cross-functional collaboration with platform engineers, cloud infrastructure, and security/compliance teams. Document and share insights, contributing to internal best practices and open-source initiatives as appropriate.

As the Director of Internal Communications at Databricks, you will play a pivotal role in shaping our internal messaging and culture. You will lead a dynamic team tasked with creating engaging communication strategies that resonate with our employees and align with our corporate values. Your expertise will help foster a transparent and inclusive environment, ensuring that vital information is effectively disseminated throughout the organization.Key responsibilities include crafting compelling narratives, managing internal campaigns, and collaborating with various departments to enhance employee engagement and morale. You will be expected to utilize analytics to refine communication efforts and drive initiatives that promote a unified company vision.

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.

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.

At Databricks, we are committed to empowering organizations to unlock the full potential of data and artificial intelligence. Our goal is to create the premier platform for the development, deployment, and management of AI applications at scale, enabling our customers to leverage intelligent solutions to revolutionize their businesses.About Our Team:The Databricks AI team is pioneering how businesses utilize artificial intelligence. Our mission involves creating foundational capabilities that allow customers to build agents and models, manage intricate workflows, and integrate AI seamlessly into their data and applications. As the AI landscape evolves rapidly, our approach requires innovative thinking and the adaptability to navigate these changes. We are not merely creating features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Shape the future of enterprise AI: Define and advance the vision of how Databricks empowers customers to harness generative AI, agents, and groundbreaking workloads.Transform breakthroughs into products: Collaborate with top-tier engineering and research teams to convert state-of-the-art AI innovations into reliable tools for millions.Expand possibilities for customers: Work closely with data and AI leaders to identify novel use cases and design products that make the previously unfeasible achievable and replicable.Be the voice of vision and execution: Inspire the roadmap from concept to launch, steering engineering efforts and articulating how Databricks AI transforms customer capabilities.Build for scale and longevity: Establish the strategies and principles that will guide Databricks AI for years to come, even as the industry undergoes rapid changes.

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.

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!