Foundry Data Architect: Pipelines, Ontologies & Insights

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

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.