Staff Forward Deployed Engineer
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 work with federal, state, and local government customers to build and productionize data and AI solutions on the Databricks platform. You will lead technical design and implementation for complex engagements, mentor FDEs and partners, and act as a trusted advisor to technical teams and senior leaders. The role is hybrid with 20-25% travel to customer locations and requires an active Secret or Top Secret clearance or willingness and eligibility to obtain one.
Requirements
- 7+ years in data engineering, data platforms & analytics, or software engineering
- Expertise in Python, Scala, or JavaScript/TypeScript
- Experience with two or more cloud ecosystems (AWS, Azure, GCP)
- Deep experience with Apache Spark and Spark runtime internals
- 3+ years of MLOps, ML/AI models and AI APIs
- Experience owning large-scale projects
- Technical project delivery at Director level or above
- Active Secret or Top Secret clearance or willingness and eligibility to obtain one
- Travel to customer locations 20-25% of the time
Responsibilities
- Lead cross-functional execution for complex engagements
- Develop frameworks and tools adopted beyond the immediate team
- Guide strategic customers through big data and AI projects from design to deployment
- Scope technical delivery work with engagement managers
- Lead architecture and design decisions ensuring secure and scalable solutions
- Provide product and implementation feedback to Engineering and Customer Support
- Embed with customer teams and engage stakeholders from ICs to executives
- Contribute accelerators, frameworks and best practices
Benefits
- Eligibility for annual performance bonus
- Equity eligibility