Job Description

Data Engineer-Palantir -
Role Palantir Data Engineers
No of years' experience Total 5+ year (Relevant Palantir experience 3+ years)
Mandatory Skills Palantir skill
Work Location India - Hybrid
Job Title: Palantir Foundry Data Engineer
The Role
As a Palantir Foundry Data Engineer, you will be at the forefront of transforming raw data into actionable intelligence. You'll work directly with customers and internal teams to design and implement robust data pipelines, ensuring that data is clean, structured, and ready for analysis in Palantir's platforms. This role is deeply technical and highly collaborative, requiring both engineering expertise and a strong understanding of real-world data challenges.
What You'll Do

• Data Integration & Modeling: Ingest and transform data from diverse sources (e.g., APIs, databases, flat files, streaming systems) into structured, queryable formats using Palantir's tools and custom code.
• Pipeline Development: Build scalable, fault-tolerant ETL/ELT pipelines using technologies such as PySpark, SQL, and Palantir's proprietary tools like Foundry's Code Repositories and Pipeline Builder.
• Customer Collaboration: Work closely with clients to understand their data landscape, identify integration challenges, and deliver tailored solutions that meet their operational and analytical needs.
• Data Quality & Governance: Implement validation checks, monitoring, and documentation to ensure data integrity, traceability, and compliance with security and privacy standards.
• Cross-functional Impact: Partner with deployment strategists, software engineers, and product designers to shape how data is used across applications and decision-making workflows.
• Object Management: Create the Ontology Objects, Links and actions which allow the maintenance of the data by the downstream applications.

• Palantir Tool Knowledge: Hands On experience with Code repositories, Pipeline Builders, Code workbook, Data health, Data Connections, Egress policies, Ontology Management, Contour, Solution designer & Data Lineage.

• Technical Proficiency: Strong coding skills in Python, Java, or Scala, and deep experience with SQL. Familiarity with distributed data processing frameworks (e.g., Spark, Flink) is a plus.
• Data Architecture Knowledge: Understanding of data warehousing, data lakes, schema design, and performance optimization.
• Problem Solving: Ability to break down complex data problems and design elegant, scalable solutions.
• Communication Skills: Comfortable engaging with both technical and non-technical stakeholders. You can explain data concepts clearly and advocate for best practices.
• Adaptability: Thrive in fast-paced, ambiguous environments. You're comfortable learning new tools and technologies on the fly.

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Palantir Foundry.
• Background in a domain such as Oil & gas, finance, healthcare, logistics, or defence is a plus.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.