Senior Engineering Manager Pipelines Engine
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 engineers developing runtime ETL capabilities and infrastructure for agentic pipeline authoring, execution, and maintenance. You will recruit and develop talent, implement product strategy, build operable software, manage technical debt, and balance long-term architecture with roadmap priorities.
Requirements
- 3+ years of experience managing engineering teams
- 5+ years of experience building data infrastructure systems such as Apache Spark or database internals
- Knowledge of database systems, storage systems, distributed systems, or performance optimization
- Experience working with product management and customers
- Ability to build high-quality, reliable infrastructure services
- Experience with testing, quality, and service-level agreements
- Experience building and managing teams in complex technical domains
- Experience attracting, hiring, and coaching engineers
Responsibilities
- Lead engineers building next-generation ETL features
- Recruit and develop engineering talent
- Build processes to implement product vision and strategy
- Build high-quality software that is easy to operate
- Manage technical debt and long-term technical architecture decisions
- Balance product roadmap priorities
- Ensure reliable infrastructure services, testing, quality, and service-level agreements