Palantir Lead (Foundry / AIP)

Location: Milpitas, United States (Hybrid)

We need someone who has overall 15+ years of experience. Since this is Architect role and someone who can relocate to Milpitas, CA.

Role Overview

We are seeking a Palantir Expert to lead the design, 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

• Define end-to-end architecture using Palantir Foundry (data ingestion, ontology, pipelines, applications)
• Design scalable, secure, and high-performance data platforms
• Lead ontology modeling aligned with business entities and workflows
• Architect 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

4. Stakeholder & Client Engagement

• Work closely with business stakeholders to define use cases
• Translate business problems into Foundry solutions
• Act as a trusted advisor to client leadership

Required Qualifications

• 10+ years in data engineering / data platform architecture
• 3+ 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 / Google Cloud Platform)
  • SQL, Python
  • Real-time data processing