Palantir Foundry use cases

Job Title:Palantir Foundry

Must Have Skills:

Mandatory

· Hands-on experience configuring Palantir Foundry use cases (datasets, pipelines, ontology, Contour, Workshop, Slate, AIP, ML Models) .

· 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

Role Summary

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.

Skills: Digital : Cloud Administration and Operation~Digital : Dataiku~Agile Specialisation~Palantir Core~Data Architecture and Modeling Experience Required: 4-6