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. A strategic investment area for the company. As the 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.

What we look for:

• 10+ years of software engineering experience, with a strong track record of technical leadership and impact.
• 3+ 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.

Why join us:

• 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!