Tranzeal Incorporated ยท 1 month ago
Palantir Foundry Engineer
Tranzeal Incorporated is seeking a hands-on Foundry specialist who can design ontology for financial products and engineer high-reliability data pipelines. The role involves owning the full lifecycle of data products, from raw sources to operational applications, while ensuring governance, security, and performance engineering.
Big DataBusiness IntelligenceCloud InfrastructureInfrastructureMachine Learning
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: Optimize 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
Qualification
Required
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/green 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/GCP), file formats (Parquet/Delta), and cost/perf tuning
Strong grasp of data governance (PII, masking, policy tags) and security models within Foundry
Preferred
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
Observability stacks (e.g., Datadog/CloudWatch/Prometheus) for pipeline telemetry; FinOps/cost governance
Experience establishing platform standards: templates, code style, testing frameworks, domain data product catalogs
Company
Tranzeal Incorporated
Tranzeal is an industry leading global Business Transformation Service Provider.
H1B Sponsorship
Tranzeal Incorporated has a track record of offering H1B sponsorships. Please note that this does not
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Trends of Total Sponsorships
2025 (5)
2024 (6)
2023 (4)
2022 (6)
2021 (7)
2020 (15)
Funding
Current Stage
Growth StageCompany data provided by crunchbase