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

Technology->Data Engineering->Palantir Foundry