Palantir Expert implementing and scaling enterprise data and AI platforms using Palantir Foundry. Leadership in data pipelines, AI/ML use cases, and complex data applications.
Responsibilities
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
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
Requirements
5+ 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
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)
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