SeniorFull TimeENNorth America
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.
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
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
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
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
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
