Senior Palantir Foundry Use Case Engineer

Connecticut State / Newark, NJ

Experience: 10 years

Must Have Technical / Functional Skills

• Hands-on experience configuring Palantir Foundry use cases (datasets, pipelines,
  
  

ontology, Contour, Workshop, Slate) .

• Experience working with ontology-based data modeling for enterprise analytics.
• Exposure to cloud-native environments (AWS) and distributed data systems.
• Experience delivering in Agile / POD-based models with short sprint cycles and
  
  

business demos

Good to Have

• Experience configuring business-facing dashboards and analytics for quality, manufacturing, supply chain, or customer analytics domains
• Understanding of data governance, usage monitoring, and standardization practices in a CoE model.
• Basic exposure to applied analytics or pattern detection within Foundry use cases
  
  

Roles & Responsibilities

The Palantir Foundry Use Case Engineer will be responsible for configuring, building, and

operationalizing business use cases on the Palantir Foundry platform.

This role focuses on rapid use-case configuration, ontology modeling, pipeline development, and business-facing analytics—working in agile, business-led 2-week sprints as part of a Palantir Center of Excellence (CoE) delivery model.

This is not a traditional data engineering role. The engineer is expected to translate business

problems into Palantir-native solutions with speed, structure, and governance.

Key Responsibilities

Use Case Configuration & Delivery

• Configure end-to-end Palantir Foundry use cases including data ingestion, ontology setup, transformations, and analytics dashboards.
• Rapidly deliver business-facing applications using Foundry components such as datasets, pipelines, ontology manager, Contour, Workshop, and Slate.
• Work in 2-week agile sprints with frequent demos and business feedback loops
• Enable quick value realization through iterative configuration rather than heavy custom coding.
  
  

Ontology & Data Modelling

• Design and configure ontology-driven data models aligned to business entities and processes (e.g., quality, supply chain, sales, manufacturing)
• Ensure consistency in object definitions, relationships, and metrics through governance standards defined by the CoE
  
  

Data Pipelines & Transformations

• Build and maintain Foundry pipelines using PySpark-based transformations for structured and semi-structured data.
• Integrate data from multiple enterprise sources via Foundry data connections and ingestion frameworks.
• Optimize pipelines for performance, reliability, and cost efficiency in cloud environments (AWS-based deployments).
  
  

Business Enablement & Adoption

• Partner closely with Product Owners and Business Analysts to translate business
  
  

requirements into configured Foundry solutions

• Support business enablement through self-service analytics, documentation, and walkthroughs of configured use cases
• Monitor application usage and adoption to guide enhancements and prioritization.
  
  

General Managerial Skills

• Good Communication Skills
  
  

Key Words to search in Resume

Palantir, AWS, Ontology‑based data modeling

Pre-Screening Questionnaire

Please select which Requirements category from 1-9 for this IOU /ISU. 9

• AI.Cloud
• CBO / IT IS
• Cyber Security
• ESU
• IOTDE
• TCS Interactive
• MOT
• Data & AI
• SEED
  
  

Role Descriptions

• Design and develop end-to-end data pipelines using Palantir Foundry (Code Repositories| Pipeline Builder| Transforms| Workshop| Contour| etc. as applicable).
• Build and maintain curated datasets| data lineage| and data quality controls across ingestion| transformation| and serving layers.
• Develop data transformations using Python PySpark SQL and optimize pipeline performance for large-scale datasets.
• Implement Foundry Ontology (objects| actions| relationships) and enable operational workflows through ontology-driven applications.
• Develop and support Foundry applications dashboards for business use-cases (where required) using Foundry tools (e.g.| Workshop| Contour).
• Collaborate with stakeholders to understand requirements| translate them into data products| and deliver iteratively using Agile practices.
• Ensure security| governance| and compliance using Foundry access controls| data policies| and auditing best practices.
• Integrate Foundry with enterprise systems via APIs connectors and support data interoperability patterns.
• Establish CICD practices for Foundry code repositories| perform peer code reviews| and enforce coding standards.10) Troubleshoot production issues| perform root-cause analysis| and drive continuous improvements in reliability and performance.
  
  

Essential Skills

• Strong hands-on experience with Palantir Foundry - Transforms and Pipeline Builder| Foundry Code Repositories| Data modeling and curated datasets| Foundry ontology concepts (preferred for senior roles)
• Experience in implementing data governance| access controls| and platform best practices.
• Strong coding skills in Python (mandatory) PySpark strongly preferred.
• Advanced SQL skills (complex joins| window functions| optimization).
• Experience with batch near-real-time data processing patterns.
• Strong understanding of data warehousing concepts| dimensional modeling| and data quality checks.
  
  

Technical Recruiter

VMC Soft Technologies Inc.

EMail: recruiterbang@vmcsofttech.com

Ph No: 602-610-2169 Ext: 202