Palantir Foundry Use Case Engineer

Job Details

• Job Title: Palantir Foundry Use Case Engineer
• Location: Connecticut, CT / Ewing, NJ
• Duration: 6 months
• Experience Required: 10+ years
• Category: Data & AI / SEED
• Primary Skills: Palantir Foundry, Python, AWS, Ontology-Based Data Modeling

Role Overview

• Configure, build, and operationalize business use cases on the Palantir Foundry platform.
• Focus on:
  • Use-case configuration
  • Ontology modeling
  • Data pipeline development
  • Business-facing analytics
• Work within an agile, business-led 2-week sprint model.
• Participate as part of a Palantir Center of Excellence (CoE) delivery model.
• Translate business problems into Palantir-native solutions.
• Focus on rapid configuration and delivery rather than heavy custom coding.

Mandatory Skills

• Hands-on experience configuring Palantir Foundry use cases, including:
  • Datasets
  • Pipelines
  • Ontology
  • Contour
  • Workshop
  • Slate
• Experience with ontology-based data modeling for enterprise analytics.
• Exposure to:
  • AWS cloud environments
  • Distributed data systems
• Experience working in:
  • Agile environments
  • POD-based delivery models
  • Short sprint cycles
  • Business demo and feedback cycles

Good-to-Have Skills

• Experience developing 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
• Basic exposure to:
  • Applied analytics
  • Pattern detection
  • Foundry-based analytics use cases

Key Responsibilities

Use Case Configuration & Delivery

• Configure end-to-end Palantir Foundry use cases covering:
  • Data ingestion
  • Ontology setup
  • Data transformations
  • Analytics dashboards
• Build business-facing applications using:
  • Datasets
  • Pipelines
  • Ontology Manager
  • Contour
  • Workshop
  • Slate
• Work in 2-week Agile sprints.
• Participate in frequent business demonstrations and feedback sessions.
• Deliver business value through iterative configuration and development.

Ontology & Data Modeling

• Design and configure ontology-driven data models aligned with business entities and processes.
• Model business domains such as:
  • Quality
  • Supply Chain
  • Sales
  • Manufacturing
• Maintain consistency in:
  • Object definitions
  • Relationships
  • Business metrics
• Follow ontology governance standards established by the CoE.

Data Pipelines & Transformations

• Build and maintain Palantir Foundry pipelines.
• Develop data transformations using:
  • Python
  • PySpark
  • SQL
• Work with structured and semi-structured data.
• Integrate data from multiple enterprise sources using Foundry:
  • Data Connections
  • Ingestion frameworks
• Optimize pipelines for:
  • Performance
  • Reliability
  • Cost efficiency
• Support cloud-based deployments, primarily on AWS.

Business Enablement & Adoption

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

Additional Responsibilities

• Design and develop end-to-end data pipelines using Palantir Foundry tools such as:
  • Code Repositories
  • Pipeline Builder
  • Transforms
  • Workshop
  • Contour
• Build and maintain:
  • Curated datasets
  • Data lineage
  • Data quality controls
• Implement data quality across:
  • Ingestion
  • Transformation
  • Serving layers
• Implement Foundry Ontology, including:
  • Objects
  • Actions
  • Relationships
• Enable operational workflows through ontology-driven applications.
• Develop and support Foundry dashboards and applications.
• Collaborate with stakeholders to develop data products iteratively.
• Implement security, governance, and compliance using:
  • Foundry access controls
  • Data policies
  • Auditing practices
• Integrate Foundry with enterprise systems through:
  • APIs
  • Connectors
  • Data interoperability patterns
• Establish CI/CD practices for Foundry Code Repositories.
• Perform peer code reviews.
• Enforce coding and development standards.
• Troubleshoot production issues and perform root-cause analysis.
• Drive continuous improvements in reliability and performance.

Essential Technical Skills

• Palantir Foundry
  • Transforms
  • Pipeline Builder
  • Code Repositories
  • Curated Datasets
  • Data Modeling
  • Foundry Ontology
  • Workshop
  • Contour
• Programming:
  • Python – Mandatory
  • PySpark – Strongly preferred
• SQL:
  • Advanced SQL
  • Complex joins
  • Window functions
  • Query optimization
• Data Governance
• Access Controls
• Data Quality
• Data Warehousing
• Dimensional Modeling
• Batch Data Processing
• Near-Real-Time Data Processing
• AWS
• APIs and Connectors
• CI/CD
• Agile

Generic Managerial Skills

• Good communication skills.
• Strong stakeholder collaboration.
• Ability to work effectively in Agile/POD-based teams.
• Ability to communicate technical concepts to business stakeholders.

Resume Search Keywords

• Palantir
• Palantir Foundry
• Palantir Core
• AWS
• Python
• PySpark
• Ontology-Based Data Modeling
• Pipeline Builder
• Foundry Transforms
• Foundry Ontology
• Workshop
• Contour

Pre-Screening

• Requirements Category: 9 – SEED
• Other Categories:
  • 1. AI.Cloud
  • 2. CBO / IT IS
  • 3. Cyber Security
  • 4. ESU
  • 5. IOTDE
  • 6. TCS Interactive
  • 7. MOT
  • 8. Data & AI