Vytwo Technologies Inc ยท 3 weeks ago
Palantir Foundry Engineer
Prosper, TX
Full-time
Onsite
Senior Level
7+ years expVytwo Technologies Inc is seeking a Palantir Foundry Engineer who will specialize in designing ontology-first data products and engineering high-reliability data pipelines. The role involves owning the full lifecycle of data products from raw sources to operational applications, ensuring data governance, security, and performance optimization.
Information Technology & Services
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
Vytwo Technologies Inc
Vytwo Technologies is a globally recognized enterprise applications integrator.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase