Forward Deployed Engineering Manager
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 a high-performing delivery team of 8+ individual contributors building and productionizing solutions for customers' data and AI challenges on the Databricks platform. You will ensure high-quality technical execution, drive professional services business outcomes, hire and coach talent, and review delivery plans and architectures. The role is hybrid in London.
Requirements
- 8+ years of total technical experience
- 2+ years managing or mentoring technical teams
- Strong technical background in Apache Spark, Python/Scala, AWS, Azure, GCP, CI/CD and MLOps/GenAI
- Ability to manage technical project delivery, scoping and executive customer relationships
- Databricks Certification required (or path to completion)
Responsibilities
- Lead a delivery team of 8+ ICs
- Connect team work to customer outcomes and business impact
- Reinforce delivery priorities and remove blockers
- Hire strong PS talent using structured interviews
- Coach team members and handle underperformance
- Run inspection rhythms such as standups, project reviews and retrospectives
- Review delivery plans and architectures
- Coach ICs on secure, scalable deployment patterns, governance and production readiness
- Drive Bookings, Revenue, Margin, CSAT and consumption metrics