Palantir Foundry Engineer - Nashville
4 weeks ago
Job summary
Own the full lifecycle from raw sources to governed versioned materialized datasets wired into operational apps and AIP agents.
Responsibilities
- Ontology &
- Data Product Design Model Object Types relationships and semantics enforce schema evolution strategies define authoritative datasets with lineage and provenance.
Pipelines & Materializations Build Code Workbook transforms SQL PySpark Scala orchestrate multi-stage DAGs tune cluster runtime parameters implement incremental snapshot patterns with backfills recovery Configure schedules SLAs SLOs alerts health checks data quality tests constraints anomaly volume checks implement idempotency checkpointing graceful retries Governance Security Apply RBAC object-level permissions policy tags PII handling least-privilege patterns integrate enterprise identity document data contracts Performance Engineering Optimize joins partitions caching materialization strategies file layout Parquet Delta instrument runtime metrics cost controls SDLC Use Git-backed code repos branching versioning code reviews unit integration tests for transforms templatize patterns reuse across domains Applications Interfaces Expose ontology-backed data to Workshop Slate apps wire Actions AIP agents publish clean APIs feeds downstream systems Reliability Incident Response Own on-call for data products run RCAs create runbooks drive preventive engineering Documentation Enablement Produce playbooks data product specs runbooks mentor engineers analysts Foundry best practices Required Qualifications 7+ years in data engineering analytics engineering Palantir Foundry at scale Deep expertise in Foundry Ontology Code Workbooks Pipelines Materializations Lineage Provenance object permissions Strong SQL PySpark Scala in Foundry comfort UDFs window functions partitioning bucketing strategies Proven operational excellence SLASLOs alerting data quality frameworks backfills rollbacks blue green or canary data releases Fluency Git CI CD test automation transforms environment promotion Hands-on cloud storage compute AWS Azure GCP file formats Parquet Delta cost perf tuning Strong grasp of governance security models within FinOps cost governance Nice Have Building Workshop Slate UX tied ontology objects authoring Actions integrating use cases Streaming event ingestion patterns Kafka Kinesis materialized curated datasets Observability stacks Datadog CloudWatch Prometheus pipeline telemetry FinOps success Metrics 90–180 Days ≥99.5% pipeline success rate documented SLOs active alerting <20% runtime/cost reduction optimization materialization strategy Zero P1 incidents ≤4h MTTR playbooks automated remediation reusable templates ingestion CDC enrichment adopted partner teams Ontology coverage priority domains versioned contracts lineageJob description
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