Role: Palantir Foundry SME – Databricks Migration Engineer
Location: Cleveland, OH (Hybrid)
About the role
Our client is currently on Palantir Foundry. We're proposing to migrate them off Palantir and rebuild equivalent capabilities on Databricks. We need a senior, hands-on engineer who knows Foundry deeply enough to reverse-engineer what's been built, and can rebuild it on Databricks. This is a client-facing, high-visibility role, not a back-office dev position.
Must have
- Worked at Palantir as an FDE/FDSE/Deployment Strategist, or worked on the client side building on Foundry for a meaningful period (not just exposure)
- Hands-on with Foundry Ontology (object types, links, actions, functions), Pipeline Builder, Code Repositories, and Workshop apps
- Strong Databricks experience: PySpark, Delta Lake, Unity Catalog, workflows/pipelines
- Strong Python and SQL
- Has designed data models and translated business workflows into working applications
- Comfortable in front of client stakeholders: can run working sessions, explain trade-offs, push back when needed
- 12+ years total experience
Nice to have
- Prior Foundry-to-other-platform migration experience
- AIP / Databricks Mosaic AI, agents, or GenAI use cases in production
- Knowledge graph or semantic layer experience
- App-layer build experience (Databricks Apps, React, Streamlit)
- Manufacturing, retail, or product data domain background
Palantir Foundry SME in Cleveland at Virtual Labs
This position is listed as full time and hybrid. It was posted 6 days ago.