Sr. Engineering Manager - Notebook Dataplane

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

In this role, you will lead the Notebook Dataplane team, which is responsible for running user code in the Notebook. We are undergoing an exciting architecture transformation to run stateful user code as a service for the product teams, providing a reliable and low-latency service for the Serverless products and power agentic workloads. A strategic investment area for the company. As the Sr. Engineering Manager, you will play a critical role in driving the technical vision, architecture, and execution for the service. You will lead a team of software engineers and recruit new team members to realize the vision.

The impact you will have:

• Define and drive the stateful user code execution service vision.
• Partner with serverless platform teams to build the service.
• Own the roadmap and execution, ensuring all team deliverables are met with high quality and on schedule.
• Define team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
• Collaborate cross-functionally with teams across the stack.

• 10+ years of software engineering experience, with a strong track record of technical leadership and impact.
• 5+ years of engineering management experience.
• Experience designing, building, and operating scalable SaaS platforms.
• Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
• Strong system-level skills. Experience with containers and K8S is highly desirable.
• Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.
• Passion for the data intelligence space.

• Work on high-impact, high-visibility initiatives that directly contribute to Databricks’ growth trajectory.
• Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
• Drive innovation in a fast-paced, data-driven environment where your work helps shape the future of Databricks.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range $190,900-$253,750 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.