Palantir Foundry Data Engineer

Experience: 7+ years (must have 4+ years in Palantir Foundry) Job Description We are looking for an experienced Palantir Foundry Data Engineer who can design ontology-based data products, develop reliable data pipelines, and operationalize them for enterprise use. The ideal candidate will have strong hands-on experience in Foundry Ontology, Code Workbooks, Pipelines, and Materializations, along with expertise in SQL, PySpark/Scala, and data governance. This role involves building high-quality datasets, optimizing performance, ensuring data reliability, and supporting applications and AIP/Actions use cases. Key Responsibilities • Design and maintain ontology models, object types, relationships, and governed datasets. • Build and optimize data pipelines using SQL, PySpark/Scala, and Foundry Code Workbooks. • Develop incremental, snapshot, and multi-stage pipelines with backfill and recovery strategies. • Configure schedules, SLAs/SLOs, alerts, monitoring, and data quality checks. • Implement RBAC, security controls, PII handling, and data governance policies. • Improve performance through partitioning, caching, materialization, and file optimization. • Use Git-based workflows, versioning, CI/CD, and automated testing for transforms. • Expose ontology-backed datasets to Workshop/Slate apps and integrate with AIP agents. • Handle incident response, root cause analysis, and prepare runbooks. • Create documentation, playbooks, and reusable frameworks; mentor team members. Required Skills • 7+ years in data engineering/analytics engineering. • Minimum 4 years of hands-on experience with Palantir Foundry (Ontology, Pipelines, Code Workbooks, Permissions, Materializations). • Strong SQL and PySpark/Scala coding ability. • Experience with SLAs, monitoring, alerting, and data quality frameworks. • Proficiency with Git, CI/CD pipelines, testing, and environment promotion. • Experience with cloud platforms (AWS/Azure/GCP) and file formats like Parquet/Delta. • Strong understanding of data governance, PII handling, and security models. Nice to Have • Experience building Workshop/Slate interfaces or AIP/Actions integrations. • Knowledge of Kafka/Kinesis for streaming ingestion. • Familiarity with observability tools such as Datadog or CloudWatch. • Experience creating reusable templates, standards, or framework components.