Palantir Foundry Engineer

Job Summary

Seeking a Palantir Foundry Engineer with strong experience in designing ontology-first data products, building reliable data pipelines, and operationalizing them into secure and reusable components. The role involves managing the complete data lifecycle — from raw data sources to governed and versioned datasets — while ensuring performance, governance, and reliability.

Key Responsibilities

• Design ontology models and authoritative datasets with proper lineage and schema evolution.
• Develop and optimize transforms using SQL and PySpark/Scala.
• Build and manage data pipelines, including orchestration, monitoring, and recovery.
• Implement governance, RBAC, and data quality checks for compliance.
• Optimize data joins, partitions, and materialization for cost and performance.
• Manage Git repositories, CI/CD pipelines, and testing frameworks.
• Document workflows and mentor team members on best practices.

Required Skills & Experience

• 13+ years of experience in Data or Analytics Engineering.
• 5 years of hands-on experience with Palantir Foundry.
• Expertise in Foundry Ontology, Code Workbooks, Pipelines, and Permissions.
• Strong SQL and PySpark/Scala skills.
• Experience with cloud platforms (AWS/Azure/Google Cloud Platform) and data file formats (Parquet/Delta).
• Proficiency in CI/CD, Git, and automation tools.
• Strong understanding of data governance, performance optimization, and compliance standards.

Preferred Skills

• Experience with Workshop/Slate and AIP integration.
• Familiarity with streaming tools (Kafka, Kinesis) and observability platforms.
• Exposure to FinOps or cost governance frameworks.