Description

Lead the design, implementation, and scaling of enterprise data and AI platforms using Palantir Foundry and AIP.

Responsibilities

• Define end-to-end architecture for scalable, secure data platforms, including ontology modeling and real-time/batch processing.
• Implement data pipelines, object modeling, and Foundry applications (Workbench, Slate) while ensuring data lineage and governance.
• Design and deploy AI/ML and GenAI use cases via AIP, enabling decision automation and agentic workflows.
• Translate complex business problems into Foundry solutions, acting as a trusted advisor to client leadership.

Required Skills

• 10+ years in data engineering or data platform architecture.
• 3+ years hands-on experience with Palantir Foundry, Ontology, and AIP.
• Strong expertise in distributed data processing using Spark and PySpark.
• Proficiency in SQL and Python for data modeling and system integrations.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Proven track record delivering enterprise-scale data platforms.
• Exposure to Forward Deployed Engineer (FDE)-like roles.

Preferred Skills

• Experience integrating Palantir with Databricks, Snowflake, or dbt.
• Familiarity with data governance frameworks.

Key Skills

Education

Any Graduate