# Palantir Foundry Engineer

**Company:** [Weekday AI](https://jobs.workable.com/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](https://jobs.workable.com/view/a940aea5-84e1-4ed0-ade9-c86f959b4096)

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 3000000 - Rs 7000000 (ie INR 30 - 70 LPA)**

  
Experience: 3+ years of relevant experience (hands-on Palantir Foundry experience preferred)

Employment: Full-time / Contract

Work Model: Remote

We are looking for an experienced Palantir Foundry Engineer to design, develop, and maintain scalable data engineering solutions, enterprise applications, and AI-enabled workflows using Palantir Foundry. The ideal candidate will have hands-on experience building data pipelines, integrating multiple data sources, developing Foundry Ontologies, and translating complex business requirements into reliable, production-ready solutions.

## Requirements

**Key Responsibilities**

\- Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry.

\- Develop data ingestion and integration solutions connecting databases, APIs, cloud platforms, and enterprise applications. - Write and optimize data transformations using Python, SQL, PySpark, or Spark.

\- Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions.

\- Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools.

\- Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable.

\- Implement data quality checks, validation, monitoring, access controls, and governance practices.

\- Troubleshoot pipeline failures, data inconsistencies, and application performance issues.

\- Collaborate with data engineers, software engineers, architects, and business stakeholders to deliver end-to-end solutions. - Maintain technical documentation, version control, testing standards, and production deployment processes.

**Required Skills & Qualifications**

\- Hands-on experience with Palantir Foundry in a development or implementation role.

\- Strong programming skills in Python and SQL.

\- Experience building data pipelines and performing complex data transformations.

\- Knowledge of PySpark/Spark and large-scale data processing.

\- Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions.

\- Experience with data integration, APIs, relational databases, and structured or unstructured data. - Understanding of data quality, testing, troubleshooting, and production support.

\- Strong analytical and problem-solving skills.

**Preferred Qualifications**

\- Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows.

\- Exposure to AWS, Azure, or Google Cloud Platform. - Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager.

\- Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices.

\- Experience delivering enterprise data or AI solutions in production environments.

**Ideal Candidate:**

A hands-on engineer who understands both data engineering fundamentals and the Palantir Foundry ecosystem, with the ability to independently build, troubleshoot, and deploy production-ready solutions.

**Application Requirement:**

Candidates should clearly mention their hands-on Palantir Foundry experience, relevant projects, technical skills, notice period, and availability.

## Must-have skills

Palantir Foundry, Python, SQL

## Good-to-have skills

Palantir AIP, LLM integration, AI agents