Palantir Data Lead

Job Title

Build and deliver end-to-end solutions on Palantir Foundry — data pipelines, Ontology, and operational applications — supporting Digital Thread, Supply Chain, and Commodity Forecasting work streams.

Build and maintain data pipelines using Pipeline Builder and Code Repositories. Ingest data from SAP, Oracle, PLM/Teamcenter, APIs and flat files via Data Connection. Write transforms in PySpark, Python and SQL. Model and maintain Ontology objects, links, and action types. Build operational applications in Workshop and develop Functions in Type Script. Configure Actions, write-back, and object-level permissioning. Implement data health checks, build schedules, and incremental pipeline patterns.

Work directly with client stakeholders to translate business workflows into working solutions.

Hands-on Palantir Foundry:
Pipeline Builder, Code Repositories, Data Connection, Ontology Manager, Workshop. Strong PySpark, Python and SQL. Type Script for Functions development. Data modelling and performance tuning on large datasets. Strong written and spoken English; comfortable in direct client interaction. Agile delivery experience.

Palantir AIP exposure (AIP Logic, Agent Studio). Palantir Foundry certification (Data Engineer or Application Developer). Manufacturing, supply chain, or PLM domain background. SAP or Teamcenter data model knowledge.