Engineering Manager - Backend
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 manage engineers building scalable infrastructure, services, client libraries, and operational tools. You will support career development, establish technical standards, create long-term roadmaps, coordinate delivery across teams, and partner with product management, sales, and customers on features.
Requirements
- Experience with large-scale distributed web services
- Experience with testing, monitoring, and SLAs
- Experience partnering with product management, sales, and customers
- BS or higher in Computer Science or a related field
- 5 years of engineering experience
- 2 years of engineering management experience
Responsibilities
- Build infrastructure and products for the platform at scale
- Hire engineers and build an outstanding team
- Provide feedback and support engineers' career development
- Develop engineering leaders
- Institute architecture reviews, testing processes, and engineering-excellence practices
- Build a long-term roadmap with engineering and product leadership
- Coordinate execution and unblock cross-cutting projects
- Partner with product management, sales, and customers to develop features