About this role
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
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Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry.
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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.
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Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions.
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Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools.
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Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable.
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Implement data quality checks, validation, monitoring, access controls, and governance practices.
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Troubleshoot pipeline failures, data inconsistencies, and application performance issues.
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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.
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Required Skills & Qualifications
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Hands-on experience with Palantir Foundry in a development or implementation role.
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Strong programming skills in Python and SQL.
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Experience building data pipelines and performing complex data transformations.
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Knowledge of PySpark/Spark and large-scale data processing.
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Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions.
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Experience with data integration, APIs, relational databases, and structured or unstructured data. - Understanding of data quality, testing, troubleshooting, and production support.
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Strong analytical and problem-solving skills.
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Preferred Qualifications
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Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows.
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Exposure to AWS, Azure, or Google Cloud Platform. - Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager.
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Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices.
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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