Contract Palantir Foundry Engineer Onsite

4 days ago

Nashville, Tennessee, United States Arkhya Tech. Inc. Full time $150,000 - $200,000 per year

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 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.

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