Senior Engineering Manager Notebook Dataplane
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead development of a stateful user-code execution service for notebooks and serverless workloads. You will set the technical vision and architecture, own the roadmap, recruit engineers, establish engineering practices, and collaborate with partner functions across the stack.
Requirements
- 10+ years of software engineering experience with technical leadership and impact
- 5+ years of engineering management experience
- Experience designing, building, and operating scalable SaaS platforms
- Expertise in distributed systems, cloud platforms, and modern web application architectures
- System-level skills
- Container and Kubernetes experience
- Ability to collaborate across product, engineering, and business teams
- Knowledge of the data intelligence space
Responsibilities
- Define and drive the stateful user-code execution service vision
- Partner with serverless platform teams to build the service
- Own the roadmap and execution of team deliverables
- Define engineering best practices for design reviews, code quality, testing, and performance optimization
- Collaborate with teams across the stack
- Lead and recruit software engineers