Palantir Foundry

Data Engineering & Pipeline Development

Build and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology) Perform data ingestion, transformation, and integration from multiple sources Ensure data quality, integrity, and reliability across datasets

Foundry Platform Development

Develop and manage workflows using Foundry tools (Pipeline Builder, Code Workbook, Workshop Apps) Implement business logic using Python, SQL, or PySpark Work with Foundry Ontology to model business entities and relationships

Application Development

Build user-facing applications using Foundry Workshop Create dashboards and analytics for business users Enable real-time or near-real-time insights

Collaboration & Stakeholder Management

Collaborate closely with business teams to understand requirements Translate business problems into data solutions Provide technical guidance on best practices

Performance Optimization

Optimize data pipelines for performance and scalability Monitor jobs and troubleshoot failures Implement efficient data models Technical Skills

Hands-on experience with Palantir Foundry (mandatory for mid/senior roles) Strong SQL skills and experience with relational databases Proficiency in Python / PySpark / Spark Experience with ETL/ELT pipeline design Knowledge of data modeling concepts

Platform Knowledge

Foundry components:

Code Repositories Ontology Pipeline Builder Workshop / Slate / Quiver

Familiarity with distributed data processing

General Skills

Strong problem-solving skills Ability to work in agile environments Good communication and stakeholder engagement

Experience with big data technologies (Hadoop, Spark, Kafka) Knowledge of cloud platforms (AWS, Azure, GCP) Experience in data governance and security Prior consulting or client-facing experience