Palantir Foundry Support for Data Engineer

I’m looking for an experienced Palantir Foundry professional to provide hands-on support for my current role as a Data Engineer. The work involves building and maintaining data and feature engineering pipelines that power AI and machine learning workloads on Palantir Foundry and AIP platforms.

Key Responsibilities:

Assist in designing and implementing Ontology models and complex data transformations across multiple source systems.
Build and optimize Foundry pipelines using Code Workbooks (PySpark, SQL, Scala) and Quiver.
Support data integration, feature engineering, and pipeline debugging for production AI workloads.
Implement security and permissions architecture aligned with enterprise governance.
Help develop Foundry applications using Workshop, Contour, and Slate for analytics and decision-making.
Guide on best practices for CI/CD, testing, and deployment within Foundry.
Provide mentorship and troubleshooting support during live client engagements.
Required Skills:

Strong hands-on experience with Palantir Foundry (Ontology, Code Workbooks, Quiver, Workshop).
Proficiency in Python, PySpark, and SQL.
Experience with data modeling, transformation logic, and pipeline optimization.
Familiarity with AI/ML data preparation and enterprise data governance.
This is a remote, ongoing support role. I’m looking for someone who can collaborate flexibly, provide technical guidance, and help deliver production-quality Foundry solutions efficiently.