Palantir Foundry Admin

Job Summary: Palantir Foundry Admin Expert

• Position Title: Palantir Foundry Admin Expert
• Location: Dallas, TX (Hybrid/Onsite)
• Duration: 12+ Months (Contract)
• Core Specialty: Palantir Foundry Administration, Access Management & Security, Data Pipeline Engineering
• Technical Stack: SQL, Python, Azure Cloud Environments, Palantir Foundry Applications
• Collaboration: Cross-functional partnership with Business, Analytics, and Data Engineering teams

Key Responsibilities:

• Platform Administration & Security: Administer user access, roles, groups, permissions, and security settings within Palantir Foundry to maintain platform integrity, governance, and compliance.
• Pipeline Integration & Operations: Build, integrate, and maintain data pipelines; monitor pipeline health and ensure seamless data ingestion and transformation.
• Troubleshooting & Platform Support: Diagnose and resolve platform performance issues, pipeline failures, and system bottlenecks in a timely manner.
• Light Development & Workflow Optimization: Provide light development support (using Python and SQL) to build, refine, and streamline custom workflows, data models, and Foundry applications.
• Cloud & Cross-Functional Collaboration: Partner closely with business end-users, data engineers, and cloud architecture teams (Azure) to align platform capability with enterprise operational goals.

Required Qualifications & Skills:

• Proven experience as a Palantir Foundry Administrator or Lead Data Platform Engineer managing enterprise Foundry environments.
• Hands-on proficiency in SQL and Python for data processing, pipeline maintenance, and light development.
• Demonstrated background in platform access control, security controls, and dataset governance within Foundry.
• Solid working knowledge of cloud environments, specifically Microsoft Azure.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication skills with the ability to bridge technical technical requirements and business user needs.