Senior Data Engineer

Bridgenext is hiring a Senior Data Engineer for a client-facing migration project. The role involves reverse-engineering capabilities built in Palantir Foundry and rebuilding them on Databricks.

Responsibilities:

• We have a great opportunity for a skilled Senior Data Engineer to join our team and play a key role on our client's migration project
• 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

Requirements:

• 10+ years total experience
• 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
• Excellent English written and verbal communication skills
• Excellent collaboration skills
• Strong analytical and problem-solving skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Passion for learning new technologies and staying current with industry trends
• 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