Palantir Foundry Use Case Engineer

Palantir Foundry Use Case Engineer

• Location: Connecticut State / Newark, NJ
• Duration: 6 months
• Experience Required: 10+ years
• Primary Skills: Python, Palantir Core
• Category: SEED – Requirement Category 9
• Role Type: Palantir Foundry Use Case Engineer

Role Summary

• Configure, build, and operationalize business use cases on thePalantir Foundry platform.
• Focus on:
  • Rapid use-case configuration
  • Ontology modeling
  • Data pipeline development
  • Business-facing analytics
  • Foundry-native application development
• Work within aPalantir Center of Excellence (CoE) delivery model.
• Deliver solutions through agile, business-led2-week sprint cycles.
• Translate business problems into Palantir-native solutions.
• Prioritize rapid configuration, structured delivery, and governance rather than heavy custom coding.

Mandatory Technical Skills

• Hands-on experience configuringPalantir Foundry use cases.
• Experience with:
  • Datasets
  • Pipelines
  • Ontology
  • Contour
  • Workshop
  • Slate
• Strong experience withontology-based data modeling for enterprise analytics.
• Experience with cloud-native environments, particularlyAWS.
• Experience with distributed data systems.
• Experience working in:
  • Agile environments
  • POD-based delivery models
  • Short sprint cycles
  • Business demo and feedback cycles
• Strong Python skills.
• Strong SQL skills.
• PySpark experience strongly preferred.

Good-to-Have Skills

• Experience building business-facing dashboards and analytics for:
  • Quality
  • Manufacturing
  • Supply Chain
  • Customer Analytics
• Understanding of:
  • Data governance
  • Usage monitoring
  • Data standardization
  • Center of Excellence (CoE) practices
• Exposure to applied analytics.
• Exposure to pattern detection using Palantir Foundry.

Use Case Configuration & Delivery

• Configure end-to-endPalantir Foundry use cases.
• Implement:
  • Data ingestion
  • Ontology setup
  • Data transformations
  • Analytics dashboards
• Rapidly deliver business-facing applications using:
  • Datasets
  • Pipelines
  • Ontology Manager
  • Contour
  • Workshop
  • Slate
• Work in 2-week Agile sprints.
• Participate in frequent business demos.
• Incorporate business feedback into iterative development.
• Enable rapid business value through configuration rather than extensive custom development.

Ontology & Data Modeling

• Design and configure ontology-driven data models.
• Model business entities and processes such as:
  • Quality
  • Supply Chain
  • Sales
  • Manufacturing
  • Customer Analytics
• Define and maintain:
  • Objects
  • Relationships
  • Actions
  • Business metrics
• Ensure consistency of object definitions and relationships.
• Follow governance standards established by the CoE.

Data Pipelines & Transformations

• Design and develop end-to-end data pipelines usingPalantir Foundry.
• Use:
  • Code Repositories
  • Pipeline Builder
  • Transforms
  • Workshop
  • Contour
• Build and maintain curated datasets.
• Establish data lineage.
• Implement data quality controls across:
  • Ingestion
  • Transformation
  • Serving layers
• Develop transformations using:
  • Python
  • PySpark
  • SQL
• Optimize pipelines for:
  • Performance
  • Reliability
  • Scalability
  • Cost efficiency
• Support large-scale datasets.
• Implement batch and near-real-time data processing patterns.
• Integrate multiple enterprise data sources through Foundry data connections and ingestion frameworks.

Business Enablement & Adoption

• Partner with:
  • Product Owners
  • Business Analysts
  • Business Stakeholders
• Translate business requirements into configured Foundry solutions.
• Support self-service analytics.
• Create documentation and walkthroughs for configured use cases.
• Monitor application usage and adoption.
• Use usage insights to guide:
  • Enhancements
  • Prioritization
  • Continuous improvement

Data Governance & Security

• Implement data governance practices within Foundry.
• Configure and manage:
  • Access controls
  • Data policies
  • Platform standards
  • Auditing
• Ensure security and compliance requirements are met.
• Maintain data quality and standardization.
• Support data lineage and governance across enterprise datasets.

Integration & Interoperability

• Integrate Palantir Foundry with enterprise systems.
• Work with:
  • APIs
  • Connectors
  • Data connections
  • Enterprise ingestion frameworks
• Support data interoperability patterns.
• Enable reliable data exchange between Foundry and enterprise platforms.

CI/CD & Development Practices

• Establish CI/CD practices for Foundry Code Repositories.
• Perform peer code reviews.
• Enforce coding standards.
• Maintain reusable and maintainable Foundry code.
• Support automated deployment practices where applicable.

Production Support

• Troubleshoot production issues.
• Perform root-cause analysis.
• Resolve data and pipeline issues.
• Improve application and pipeline reliability.
• Optimize performance and cost.
• Drive continuous improvement initiatives.

Required Technical Skills

• Palantir Foundry
• Palantir Core
• Foundry Transforms
• Pipeline Builder
• Foundry Code Repositories
• Foundry Ontology
• Ontology Manager
• Contour
• Workshop
• Slate
• Python
• PySpark
• SQL
• AWS
• Data Modeling
• Data Warehousing
• Dimensional Modeling
• Data Quality
• Data Lineage
• Data Governance
• Access Controls
• APIs
• Data Connectors
• CI/CD
• Agile
• Batch Processing
• Near-Real-Time Data Processing

Data Engineering Skills

• End-to-end data pipeline development.
• Curated dataset development.
• Data ingestion.
• Data transformation.
• Data quality validation.
• Data lineage.
• Data warehousing.
• Dimensional modeling.
• Large-scale data processing.
• Batch processing.
• Near-real-time processing.
• Pipeline performance optimization.
• Complex SQL development.
• Complex joins.
• Window functions.
• SQL optimization.

Cloud Skills

• AWS
• Cloud-native environments.
• Distributed data systems.
• Cloud-based data processing.
• Cloud data integration.
• Performance and cost optimization.

Agile & Collaboration

• Experience working in Agile/POD-based environments.
• Experience delivering in short sprint cycles.
• Participate in business demos.
• Incorporate frequent stakeholder feedback.
• Strong communication skills.
• Collaborate effectively with technical and business teams.