Engineering Manager - Databricks SQL Control Plane

Join Databricks, a leader in data analytics, as a Senior Financial Analyst within our General & Administration Financial Planning and Analysis (FP&A) Team. This pivotal role involves partnering with various departments to provide financial insights and guidance that drive investment decisions and fuel business growth.You will report to the Senior Finance Manager and be instrumental in enhancing forecast accuracy, refining corporate reporting, and collaborating with IT, People, and Legal teams. Your expertise will help ensure the organization meets its goals through data-driven financial modeling and analysis.Your Impact:Act as a primary finance partner to leaders in IT, People, and Legal, facilitating accurate forecasts.Take ownership of budget versus actual variance analysis and relevant reporting.Develop and maintain detailed financial models to assess functional costs and their cross-functional impacts.Collaborate with Accounting on accruals and assist in the month-end close process.Manage strategic projects and ad hoc requests to empower senior leaders in decision-making.Contribute to the company's long-range strategic planning initiatives.Lead initiatives for process and system improvements to support ongoing growth.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges in the world—from realizing the next mode of transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to harness deep data insights for business enhancement. Our engineering teams create technical products that address real-world needs. We continually push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, operating millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Our software is designed to seamlessly shield our customers from cloud hardware, network, and operating system faults. As a member of the Observability team, you will craft observability solutions that deliver insights into the health and performance of our products and infrastructure.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

P-1257 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from pioneering the next mode of transportation to expediting medical innovations. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our customers to leverage profound data insights for business enhancement. Founded by engineers with a relentless focus on customer satisfaction, we seize every chance to address technical challenges, whether it’s designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. And we’re just getting started. In the role of Senior Engineering Manager at Databricks, you will spearhead teams in crafting robust, scalable, and reliable software essential for our operations. You will oversee the delivery of products and features developed by your teams, collaborating with engineers and customers to ensure we consistently produce exceptional products enriched with innovative features.

At Databricks, we're dedicated to empowering Data and AI teams to tackle some of the most challenging issues globally — from revolutionizing transportation to speeding up the discovery of medical innovations. We achieve this by creating and managing the premier Data and AI infrastructure platform, enabling our clients to harness deep data insights to enhance their operations. Founded by engineers with a customer-centric approach, we embrace every chance to overcome technical hurdles, whether it’s designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey has just begun!As a Senior Product Operations Analyst reporting to the Director of Product Operations, you'll spearhead critical projects and collaborate with teams across Engineering, Data Science, HR, and Finance. Your role will be instrumental in ensuring our systems achieve operational excellence that scales alongside our company, laying the groundwork for data-driven decision-making that fuels Databricks’ growth. We are looking for candidates with a robust background in business operations and a solid grasp of data management principles.In this position, you will lead and support projects related to the Serverless Networking platform, collaborating with various teams to launch external customer-facing networking features and improve the foundational networking infrastructure supporting our internal product teams.

MissionAt Databricks, our core mission is to streamline and democratize data and artificial intelligence, empowering organizations to address some of the most significant challenges globally. In the role of Senior Product Designer specializing in AI/BI experiences, you will be tasked with transforming advanced analytics, generative AI, and business intelligence into accessible, reliable, and actionable tools for users of all technical backgrounds.As a Senior Product Designer, your responsibilities will extend beyond merely crafting dashboards or workflow designs. You will shape the synergy between human intuition and AI capabilities.Your role will involve defining how users can interact with their data in straightforward language and receive trustworthy insights. You will influence how insights are generated, interpreted, disputed, and disseminated, bridging the gap between intricate AI systems and human decision-making. Collaborating closely with our product and engineering teams based in Seattle will be essential.

Join Our Mission:At Drivemode, we are committed to transforming the driving experience through innovative technology. Our vision is to create vehicles that are significantly smarter, safer, and more connected. Since becoming Honda's first startup acquisition in 2019, we have expanded our mission to pioneer the future of electric vehicles (BEV) for millions globally. Why Choose Drivemode:Embrace the dynamic startup culture at Drivemode, where impactful work meets competitive compensation and exceptional benefits. By joining our team, you will be part of a critical mission that reshapes how individuals interact with vehicles while addressing pressing business and environmental challenges. This is a unique opportunity to lead innovation and contribute to Honda's success in the electric vehicle sector. About the Role:We are in search of a passionate and experienced Senior Data Analyst to join our expanding team at Drivemode, a Honda subsidiary. In this vital position, you will analyze extensive datasets to extract meaningful insights, driving product decisions, enhancing operational efficiency, and improving user experiences across our mobile applications and in-car infotainment systems. You will work closely with product managers, engineers, designers, and other stakeholders to convert complex business challenges into actionable, data-informed solutions, positioning Honda at the forefront of electric and software-defined vehicle innovation.

Who We AreAurora's mission is to safely and rapidly deliver the benefits of self-driving technology to everyone.The Aurora Driver is set to revolutionize mobility and logistics, creating a safer, more efficient, and more accessible future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and skilled individuals, enhancing your expertise while expanding your knowledge base. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora seeks talented professionals from diverse backgrounds who are eager to contribute to a transportation ecosystem that enhances safety on our roads, ensures critical goods reach their destinations, and makes mobility more efficient and accessible.We are in search of a Senior Business Analyst to join our Mapping Operations team. In this role, you will collaborate closely with Program Management, Operations, and Engineering teams to facilitate data-driven decision-making across various workflows and systems.The ideal candidate will possess a blend of strong analytical and technical skills, along with the ability to convert complex data into actionable insights. You will be responsible for identifying trends, measuring operational and system performance, and offering recommendations aimed at improving efficiency, quality, and scalability.Key Responsibilities:Examine large datasets to pinpoint trends, performance gaps, and areas for improvement.Craft dashboards and reporting frameworks that provide transparency into operational health and system performance.Translate analytical findings into actionable recommendations for leadership and domain owners.Collaborate with domain owners to assess the effects of process and system changes via data analysis and experimentation.Identify root causes of operational inefficiencies and propose data-driven solutions.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

(P-1286) At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world, from realizing the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating and operating the world's leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their business performance. The Networking Infrastructure forms a critical component of our platform, supporting all our data and AI products. It also underpins essential enterprise security features that customers utilize across our offerings to establish connectivity solutions to cloud resources and prevent data exfiltration. We are on the lookout for seasoned Senior Software Engineers with extensive experience in large-scale distributed systems to join our Networking Infrastructure team. In this role, you will design and automate the networking foundations for expansive compute clusters across all major cloud providers, link millions of virtual machines operating on Databricks, and lead the development of secure and scalable connectivity that drives all data and AI workloads. Collaborating closely with cross-functional teams, including product management, operations, and other engineering teams, you will ensure the delivery of robust, scalable, and efficient networking systems. This is an outstanding opportunity for a hands-on leader who thrives in a dynamic environment and is eager to tackle innovative multicloud and distributed systems challenges.

Join Moveworks as a Senior Manager of Strategy & Operations, where you'll play a pivotal role in shaping our growth strategy. Your leadership will drive operational excellence and innovation across our product departments.

Join our team at Databricks as a Finance Manager, where you will play a pivotal role in shaping our financial strategy and driving our growth. You will lead financial planning, analysis, and reporting efforts to ensure our business objectives are met effectively.

At GFiber, we are passionate about providing exceptional internet services that foster innovation, empower communities, and simplify everyday life. As we continue to expand, we are on the lookout for individuals eager to make a meaningful impact in the tech landscape. Our team is dedicated to creating an inclusive environment where you can cultivate your career and discover your purpose.As a proud member of Alphabet, GFiber is committed to delivering Google Fiber and Google Fiber Webpass services to homes and businesses throughout the United States. We are rapidly growing our teams as we connect more cities and individuals to high-quality internet solutions.The application period will remain open until at least April 17, 2026. This listing may remain active based on business needs, possibly extending beyond this date.Please note that this position is not eligible for immigration sponsorship. Role OverviewAs a Business Analyst at GFiber, you will play a pivotal role in documenting and defining use cases while collaborating closely with various business teams. Your projects will involve software developed by our systems and tools teams and overseeing the development of home routers for GFiber customers. Our systems utilize cloud-based deployment environments, comprising a diverse suite of applications (iOS and Android), a customer web portal, back-end systems built on Salesforce, Fiber Management systems, customer agent and ticketing tools, OSS, ERP, and billing systems. This comprehensive range of systems and tools offers significant opportunities for professional growth in a dynamic environment. You will focus on managing the systems currently deployed based on the OSS and Cloud platforms.Key Responsibilities:Collaborate with business teams to articulate user stories capturing business requirements.Partner with design teams to validate use cases and facilitate technical implementations.Engage with stakeholders to prioritize requirements effectively.Present features and use cases to business stakeholders.Obtain formal approval from business stakeholders to finalize features and use cases.Take ownership of the feature journey from inception to approval.

At Databricks, we are dedicated to empowering data and AI teams to tackle some of the world's most significant challenges — from transforming transportation to expediting medical innovations. Our mission is to create and maintain the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their businesses. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to address technical challenges, whether it’s designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines. And we are just getting started. As a member of the ML/AI Environments team, you will develop the systems that allow AI researchers and engineers to effortlessly establish their desired training and serving environments. You’ll join a high-agency, high-visibility team at the cutting edge of AI infrastructure, closely connected to research, product development, and real-world enterprise applications. Databricks Mosaic AI is one of our fastest-growing sectors, assisting thousands of customers in democratizing AI within their organizations. We are building the infrastructure that fuels the next generation of AI.