Lead Data Engineer - Palantir Foundry & AI Platforms

Palantir Lead

Palantir Lead1

Role Overview

We are seeking a Palantir Experts for implementation, and scaling of enterprise data and AI platforms using Palantir Foundry and AIP.

This role requires a unique blend of data engineering, platform architecture, and business problem-solving, with the ability to translate complex data into operational applications that drive real-time decision-making.

Key Responsibilities

1. Architecture & Solution Design

• Exeucte end-to-end architecture outlined using Palantir Foundry (data ingestion, ontology, pipelines, applications)

• Understand and execute scalable, secure, and high-performance data platforms

• Lead ontology modeling aligned with business entities and workflows

• Real-time and batch data processing solutions

2. Platform Implementation (Foundry)

• Lead implementation of:

  • Data pipelines (Code Repos, Pipeline Builder)

  • Ontology and object modeling

  • Foundry applications (Workbench, Slate, operational apps)

• Ensure best practices in:

  • Data lineage

  • Versioning

  • Governance and access control

3. AI / Advanced Analytics (AIP)

• Design and implement AI/ML and GenAI use cases using AIP

• Enable decision automation and agentic workflows

• Integrate LLMs and ML models into business processes

Required Qualifications

Experience

• 7+ years in data engineering / data platform architecture

• 2+ years hands-on experience with Palantir Foundry, Ontology and AIP

• Proven track record of delivering enterprise-scale data platform

• Experience in Forward Deployed Engineer (FDE)-like roles

• Exposure to tools like Databricks, Snowflake, dbt (for integration scenarios)

• Experience with data governance frameworks

Technical Skills

• Strong expertise in:

  • Distributed data processing (Spark, PySpark)

  • Data modeling and architecture

  • APIs and system integrations

• Hands-on experience with:

  • Foundry Ontology

  • Pipeline Builder / Code Repositories

  • Foundry application development

• Experience with:

  • Cloud platforms (AWS / Azure / GCP)

  • SQL, Python

  • Real-time data processing

Experience Level

Senior Level