Palantir Foundry

We are looking for a Palantir Foundry with 3 4 years of experience in data engineering and hands-on experience with the Palantir Foundry platform. The candidate will be responsible for building data pipelines, integrating data sources, transforming data, and supporting data-driven applications.

Qualifications

We are looking for strong Palantir Foundry / AIP engineers who can work across Application Development, Data Engineering, Ontology and AI.

The ideal candidate should not be limited to building Foundry pipelines or dashboards. We are looking for someone who understands how to take a business problem from:

External/Data Sources Data Engineering Ontology Business Logic & Actions Applications AIP/AI Workflows

Experience resembling an AI Forward Deployed Engineer (AI FDE) is highly desirable.

1. Palantir Foundry Core Skills

Profiles should demonstrate hands-on experience across several of the following areas:

Data Integration & Engineering

• Data Connections / external source integrations
• Pipeline Builder
• Code Repositories
• Python / PySpark transformations
• Dataset modelling and transformations
• Data quality, lineage and dependency management
• Contour analysis
• Quiver analysis
• Foundry Automate

Candidates with strong traditional Data Engineering experience in addition to Palantir should receive additional preference.

2. Ontology Critical Skill

Strong Ontology knowledge is one of the most important screening criteria.

Look for candidates who understand:

• Ontology Object Types
• Properties
• Relationships / Links
• Actions
• Functions
• Interfaces
• Object-backed applications
• Mapping datasets/data models into Ontology
• Designing Ontology around business concepts rather than simply exposing database tables

The candidate should understand how Ontology acts as the business/semantic layer connecting data, applications, workflows and AI.

A candidate who has extensive Foundry experience but little understanding of Ontology should not automatically be considered a strong Palantir profile.

3. Palantir Application Development

We want candidates who can build applications on top of the data and Ontology.

Look for:

• Workshop
• Application development using Ontology
• Actions and workflows
• Functions developed through Code Repositories
• Developer Console
• React / TypeScript application development
• Building custom applications using Ontology APIs
• Integration of applications with external/internal enterprise systems

Strong general software engineering or application-development experience is a significant advantage.

4. AIP / AI Capabilities

Candidates should have a good understanding of Palantir AIP and preferably hands-on experience with:

• AIP Logic
• LLM-powered workflows
• Agents / AI workflows
• Using Ontology as context for AI
• Tool/function calling
• AIP applications
• AI-driven Actions
• Human-in-the-loop workflows
• AI governance and access controls
• MCP / Model Context Protocol
• Connecting AI workflows with external systems and tools

We prefer candidates who understand how AI is operationalized against enterprise data and business processes, rather than candidates whose AI knowledge is limited to prompting an LLM.

5. Programming & Data Engineering

Strong programming ability is expected.

High Priority

• Python
• PySpark
• SQL
• Data transformations
• Data modelling
• ETL/ELT concepts
• Large-scale data processing

Additional Advantage

• React
• TypeScript / JavaScript
• REST APIs
• Backend/application development
• Cloud platforms
• Databricks / Spark or similar data platforms

A strong Data Engineering background is a definite plus.

Preferred Candidate Profile

The strongest candidates will have a combination of three areas:

Application Engineering + Data Engineering + AI Engineering

Desired Candidate Profile