Description

You will design, build, and maintain scalable data pipelines and ontologies using Palantir Foundry. You will translate business requirements into technical solutions that support analytics, operational dashboards, and downstream AI/ML use cases.

Responsibilities

• Design and maintain data pipelines using Foundry Pipeline Builder and Code Workbooks.
• Build and manage Palantir Ontologies, including Object Types, Link Types, and Properties.
• Ingest, transform, validate, and enrich data from enterprise and external sources.
• Implement scalable data transformations using Python, PySpark, and SQL.
• Monitor, troubleshoot, and optimize existing Foundry assets to ensure data quality and governance.

Required Skills

• 5-10 years of overall experience in data engineering or data-intensive application development.
• Strong hands-on experience with Palantir Foundry, including ontology modeling and pipeline development.
• Proficient in Python with solid experience in SQL and PySpark.
• Deep understanding of ETL/ELT concepts, data modeling, and data governance.
• Experience collaborating with business stakeholders, data scientists, and platform teams.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent.

Preferred Skills

• Palantir Foundry certification.
• Knowledge of TypeScript and JavaScript for Foundry applications.
• Experience with cloud platforms (Azure, AWS, or GCP) or Palantir AIP.

Key Skills

Education

Bachelor’s degree