Palantir Lead

Opportunity Overview

We are looking for a Palantir Lead to drive the delivery of enterprise scale data and analytics solutions within a complex, data-rich environment.

This role will lead the design and implementation of end-to-end Foundry solutions, working across data engineering, ontology development, and application delivery. You will act as a technical lead, guiding engineers while partnering with stakeholders to translate business requirements into scalable data products.

Key Responsibilities

• Lead the architecture, design, and delivery of Palantir Foundry solutions across ingestion, transformation, and application layers.
• Build and optimize data pipelines using PySpark, Pipeline Builder, and Code Repositories.
• Develop and maintain ontology models, including object types, relationships, and business logic, using Typescript.
• Design and deliver end-user applications using Foundry tools such as Workshop, Slate, and Application Builder.
• Translate complex business requirements into scalable data models and analytics solutions.
• Oversee data warehouse design and architecture, ensuring alignment with enterprise standards.
• Implement frameworks for data ingestion, validation, audit, logging, and reconciliation.
• Monitor system performance, troubleshoot issues, and continuously improve platform reliability.
• Ensure solutions comply with internal governance and external regulatory requirements.
• Provide technical leadership and mentorship to engineers, including guidance on ETL design and best practices.
• Act as a key point of contact between technical teams and business stakeholders.

Required Experience & Skills

• Strong experience with Palantir Foundry, including data ingestion and integration, data transformation using PySpark, Pipeline Builder, and Code Repositories, ontology development using Typescript, and application development within Foundry.
• Solid background in data engineering and data architecture.
• Experience with modern data technologies such as Spark, Snowflake, and Hadoop.
• Proven ability to design and deliver scalable data platforms and analytics solutions.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience building frameworks for data quality, auditing, and reconciliation.
• Ability to lead projects and mentor junior engineers.
• Strong stakeholder engagement and communication skills.

Nice to Have

• Experience working in large, regulated environments.
• Exposure to operational or real-time data systems.
• Prior experience leading enterprise data platform implementations.