Palantir Foundry Engineer
Palantir Foundry Engineer
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1 Vacancy
Job Description
Position: Palantir Foundry Engineer
Domain: Healthcare
Location: Nashville TN (Onsite from Day One)
Duration: 6 Months
Job Type Contract
Role Summary:
Seeking a hands-on Palantir Foundry Engineer to design ontology-driven data products build reliable data pipelines and operationalize them into secure reusable and observable assets supporting multiple healthcare applications (Workshop/Slate AIP/Actions). This role covers the full lifecycle-from raw data to governed versioned datasets powering enterprise analytics and AI workflows.
Key Responsibilities:
- Ontology & Data Modeling: Design and evolve Foundry Ontology objects schemas and data relationships with lineage tracking.
- Pipeline Engineering: Build and optimize Code Workbook transforms (SQL PySpark/Scala) implement incremental and snapshot pipelines and orchestrate DAGs.
- Data Operations: Configure schedules SLAs alerts and DQ checks; ensure idempotent and fault-tolerant execution.
- Governance & Security: Apply RBAC PII handling policy tags and least-privilege security principles.
- Performance Optimization: Tune joins caching and partitioning for cost and speed efficiency.
- DevOps & SDLC: Leverage Git CI/CD testing and versioning within Foundry.
- Application Integration: Expose ontology-backed data to apps (Workshop/Slate) APIs and AIP agents.
- Reliability: Manage incident response RCAs and create runbooks for data product stability.
- Documentation & Mentorship: Produce detailed documentation and enablement materials for engineering teams.
Required Qualifications:
- 7 years in Data Engineering/Analytics Engineering including 4 years hands-on Palantir Foundry.
- Strong command of Foundry Ontology Code Workbooks Pipelines and Permissions.
- Expertise in SQL PySpark/Scala and data pipeline optimization.
- Experience managing SLAs/SLOs alerts DQ frameworks and version control with Git/CI-CD.
- Familiar with AWS/Azure/GCP Parquet/Delta and cost/performance tuning.
- Understanding of data governance security and PII compliance.
Nice to Have:
- Experience building Workshop/Slate UIs AIP/Actions and Kafka/Kinesis streaming integrations.
- Exposure to observability tools (Datadog CloudWatch Prometheus) and FinOps practices.
- Established Foundry templates testing frameworks or data product catalogs.
Performance Metrics (First 90 180 Days):
- 99.5% pipeline success rate with SLAs and alerting in place.
- 20% reduction in runtime or compute cost.
- Zero P1 data incidents; 4h MTTR with automation.
- 3 reusable templates adopted by partner teams.
- Ontology versioning and lineage coverage for key healthcare domains.
Employment Type
Full Time
