Palantir Data Lead

Propelsys Technologies LLC; Cleveland (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Propelsys Technologies LLC is seeking an experienced Palantir Data Lead to design and deliver end-to-end Foundry-based solutions across Digital Thread, Supply Chain and Forecasting. You will work hands-on with data pipelines, ontology management, and operational apps to drive client value.

Responsibilities include building pipelines, ingesting data from SAP/Oracle/PLM, transforming data with PySpark and SQL, and implementing TypeScript-based functions within Agile teams.

Qualifications

• Hands-on Palantir Foundry experience is required.
• Experience with Pipeline Builder, Code Repositories, Data Connection, Ontology Manager, and Workshop.
• Strong PySpark, Python and SQL skills; TypeScript for Functions development.

Responsibilities

• Build and maintain data pipelines using Palantir Pipeline Builder and Code Repositories.
• Ingest data from SAP, Oracle, PLM/Teamcenter, APIs, and flat files using Data Connection.
• Develop data transformations using PySpark, Python, and SQL.
• Model and maintain Ontology objects, links, and action types.
• Build operational applications using Workshop.
• Configure Actions, write-back capabilities, and object-level permissioning.
• Perform data modeling and performance tuning on large datasets.
• Collaborate with client stakeholders to translate business workflows into Palantir solutions.
• Participate in Agile delivery with cross-functional teams.

Skills

Palantir Foundry

Pipeline Builder

Code Repositories

Data Connection

Ontology Manager

Workshop

PySpark

Python

SQL

TypeScript

Data Modeling

Performance Tuning

Communication

Agile Delivery

Client-facing

Job description

We are seeking an experienced Palantir Data Lead with strong hands-on experience building end-to-end solutions on Palantir Foundry. The candidate will work across data pipelines, Ontology, and operational applications supporting Digital Thread, Supply Chain, and Commodity Forecasting initiatives. Platform awareness or training-only profiles will not be considered. Candidates must have hands-on Palantir Foundry implementation experience.

Key Responsibilities

• Build and maintain data pipelines using Palantir Pipeline Builder and Code Repositories.
• Ingest data from SAP, Oracle, PLM/Teamcenter, APIs, and flat files using Data Connection.
• Develop data transformations using PySpark, Python, and SQL.
• Model and maintain Ontology objects, links, and action types.
• Build operational applications using Workshop.
• Develop Functions using TypeScript.
• Configure Actions, write-back capabilities, and object-level permissioning.
• Implement data health checks and pipeline schedules.
• Develop incremental pipeline patterns.
• Perform data modeling and performance tuning on large datasets.
• Work directly with client stakeholders to translate business workflows into working Palantir solutions.
• Participate in Agile delivery and collaborate with cross-functional teams.
• Clearly document Foundry modules used and duration of Foundry experience separately from total IT experience.
• Provide details of any Palantir certifications, including certification dates.

Required Skills

• Hands-on Palantir Foundry experience.
• Pipeline Builder
• Code Repositories
• Data Connection
• Ontology Manager
• Workshop
• Strong PySpark, Python, and SQL.
• TypeScript experience for Functions development.
• Strong data modeling and performance tuning skills.
• Strong written and verbal communication.
• Direct client-facing experience.
• Agile delivery experience.

Preferred / Nice-to-Have Skills

• Palantir AIP experience.
• AIP Logic and Agent Studio.
• Palantir Foundry Data Engineer or Application Developer Certification.
• Manufacturing experience.
• Supply Chain domain experience.
• PLM experience.
• SAP data model knowledge.
• Teamcenter data model knowledge.

Candidate Submission Requirements

• Total IT Experience:
• Palantir Foundry Experience:
• Foundry Modules Used:
• Palantir Certifications:
• Certification Date:
• AIP Experience:
• Manufacturing/Supply Chain/PLM Experience:
• Work Authorization:
• Current Location:
• Availability: