We're looking for a hands-on Palantir Foundry engineer to design and build ontology-driven data foundations and operational applications for our clients. You'll work across the full Foundry stack — from pipeline engineering to ontology modeling to AIP-powered app building — translating business requirements into production-grade solutions that teams can trust and build on.
What you'll do:
Build and maintain data pipelines using Pipeline Builder and Code Repositories, writing PySpark/Python transforms to power Foundry's data foundation.
Design and govern the shared ontology in Ontology Manager — modeling object types, link types, and action types that accurately represent the business.
Build operational applications using Workshop and OSDK, translating ontology objects into usable, business-facing tools.
Develop AIP-backed capabilities using Agent Studio and Logic, including LLM-backed functions in TypeScript/Python, with working knowledge of AIP Evals to test and validate quality.
Manage releases across settings (Dev → UAT → Prod) using Foundry's branching, DevOps,



and Marketplace-based promotion workflows.
Partner with business and client stakeholders to translate requirements into robust ontology design and Foundry-native applications.

What you bring:
Hands-on experience across the core Foundry stack: Ontology Manager (object/link/action types), Pipeline Builder, and Code Repositories (PySpark/Python transforms).
Practical AIP experience — Agent Studio, Logic, and building LLM-backed functions in TypeScript/Python — along with familiarity with AIP Evals.
Solid ontology design and governance skills — modeling entities and relationships, defining action types, and managing a shared ontology across multiple teams.
Experience with Foundry release management — branching, DevOps practices, and Marketplace-based promotion across environments.
Ability to translate ambiguous business requirements into clean, scalable Foundry data foundations and

📌 Senior Data Engineer Bengaluru
🏢 MathCo India
📍 Bengaluru