Must Have Technical/Functional Skills
Mandatory
· 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
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.
Generic Managerial Skills, If any
· 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
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AI.Cloud
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CBO / IT IS
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Cyber Security
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ESU
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IOTDE
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TCS Interactive
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MOT
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Data & AI
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SEED
What are Regulated Positions
"Regulated Positions” are those positions which requires TAG to recruit candidates with
specific work authorizations viz.
by any of the below listed per MSA.
-
ITAR (International Traffic in Arms Regulations).
-
NERC CIP (NERC Critical Infrastructure Protection).
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NRC (Nuclear Regulatory Commission).
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Any other regulations as appropriate.
Role Descriptions: 1) Design and develop end-to-end data pipelines using Palantir Foundry (Code Repositories| Pipeline Builder| Transforms| Workshop| Contour| etc. as applicable).2) Build and maintain curated datasets| data lineage| and data quality controls across ingestion| transformation| and serving layers.3) Develop data transformations using Python PySpark SQL and optimize pipeline performance for large-scale datasets.4) Implement Foundry Ontology (objects| actions| relationships) and enable operational workflows through ontology-driven applications.5) Develop and support Foundry applications dashboards for business use-cases (where required) using Foundry tools (e.g.| Workshop| Contour).6) Collaborate with stakeholders to understand requirements| translate them into data products| and deliver iteratively using Agile practices.7) Ensure security| governance| and compliance using Foundry access controls| data policies| and auditing best practices.8) Integrate Foundry with enterprise systems via APIs connectors and support data interoperability patterns.9) 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: 1) 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)2) Experience in implementing data governance| access controls| and platform best practices.3) Strong coding skills in Python (mandatory) PySpark strongly preferred.4) Advanced SQL skills (complex joins| window functions| optimization).5) Experience with batch near-real-time data processing patterns.6) Strong understanding of data warehousing concepts| dimensional modeling| and data quality checks.
Desirable Skills:
Keyword:
Skills: Digital : Python~Palantir Core
Experience Required: 10 & Above
