| Palantir Foundry Engineer Location: Nashville (Onsite) at Nashville, Tennessee, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2983465&uid=49b3add91a8c49dca34da054af95bace From: Mahender Singh, Digitaldhara [email protected] Reply to: [email protected] Position Title : Palantir Foundry Engineer Location: Nashville (Onsite) Hands-on Foundry specialist who can design ontology-first data products, engineer high-reliability pipelines, and operationalize them into secure, observable, and reusable building blocks used by multiple applications (Workshop/Slate, AIP/Actions). Youll own the full lifecycle: from raw sources to governed, versioned, materialized datasets wired into operational apps and AIP agents. Core 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, and implement incremental + snapshot patterns with backfills and recovery. Operationalization: Configure schedules, SLAs/SLOs, alerts/health checks, and data quality tests (constraints, anomaly/volume checks); implement idempotency, checkpointing, and graceful retries. Governance & Security: Apply RBAC, object-level permissions, policy tags/PII handling, and least-privilege patterns; integrate with enterprise identity; document data contracts. Performance Engineering: imize joins/partitions, caching/materialization strategies, file layout (e.g., Parquet/Delta), and shuffle minimization; instrument with runtime metrics and cost controls. Dev Productivity & SDLC: Use Git-backed code repos, branching/versioning, code reviews, unit/integration tests for transforms; templatize patterns for reuse across domains. Applications & Interfaces: Expose ontology-backed data to Workshop/Slate apps wire Actions and AIP agents to governed datasets; publish clean APIs/feeds for downstream systems. Reliability & Incident Response: Own on-call for data products, run RCAs, create runbooks, and drive preventive engineering. Documentation & Enablement: Produce playbooks, data product specs, and runbooks; mentor engineers and analysts on Foundry best practices. Required Qualifications 7+ years in data engineering/analytics engineering with 4+ years hands-on Palantir Foundry at scale. Deep expertise in Foundry Ontology, Code Workbooks, Pipelines, Materializations, Lineage/Provenance, and object permissions. Strong SQL and PySpark/Scala in Foundry; comfort with UDFs, window functions, and partitioning/bucketing strategies. Proven operational excellence: SLAs/SLOs, alerting, data quality frameworks, backfills, rollbacks, blue/ or canary data releases. Fluency with Git, CI/CD for Foundry code repos, test automation for transforms, and environment promotion. Hands-on with cloud storage & compute (AWS/Azure/P), file formats (Parquet/Delta), and cost/perf tuning. Strong grasp of data governance (PII, masking, policy tags) and security models within Foundry. Nice to Have Building Workshop/Slate UX tied to ontology objects; authoring Actions and integrating AIP use cases. Streaming/event ingestion patterns (e.g., Kafka/Kinesis) materialized into curated datasets. [email protected] Keywords: continuous integration continuous deployment user experience trade national Tennessee Palantir Foundry Engineer Location: Nashville (Onsite) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2983465&uid=49b3add91a8c49dca34da054af95bace |
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| 06:57 PM 10-Dec-25 |