Design and develop end-to-end data pipelines using Palantir Foundry tools such as: Code Repositories. Design and configure ontology-driven data models aligned with business entities and processes.
Numbers & Facts
Location
Connecticut, CT / Ewing, NJ, NJ
Salary
$43.70–$47.34 Per Hour
Description
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.