Description

We are seeking a highly experienced Foundry Lead Data Engineer to architect, develop, and optimize scalable data solutions using Palantir Foundry. This senior role is ideal for a data engineering expert who thrives in complex, ontology-aware environments and can lead the design of robust data pipelines and applications that drive actionable insights.

You will play a pivotal role in shaping our data strategy, collaborating with stakeholders across the organization, and ensuring the integrity, performance, and cost-efficiency of our data ecosystem. While familiarity with Generative AI (GenAI) is a plus, your core expertise should lie in data architecture, pipeline development, and Foundry platform mastery.

Required Qualifications

• 8+ years of experience in data engineering or related roles.

• Strong proficiency in PySpark, Spark SQL, and Python.

• Deep hands-on experience with Palantir Foundry, including:

• Data Connections

• Pipeline Builder

• Contour

• Code Repositories

• Ontology Management

• Workshop and Quiver

• Solid understanding of data modeling, data governance, and access control.

• Proven ability to troubleshoot complex data issues and optimize performance.

Preferred Qualifications

• Experience with cloud platforms (e.g., Azure).

• Familiarity with Snowflake and its integration with Foundry.

• Exposure to Generative AI (GenAI) and its application in data workflows.

• Knowledge of data security, compliance, and metadata management

Key Skills

Education

Any Graduate