Palantir Tech Lead

Quick Facts

• Role: Palantir Tech Lead (hands-on lead engineer)

• Experience: 15+ years

Description

Lead data engineering activities for moderate to complex, data and analytics-centric problems with broad impact. Assemble, enhance, maintain, and optimize data pipelines and Palantir Foundry applications, including ontology-driven front ends and operational applications. Work with subject matter experts (SMEs), implement transformations and ontology objects, participate in agile ceremonies, and communicate technical concepts to nontechnical business leaders.

Responsibilities

• Lead data engineering activities to achieve desired results and support cost savings and project/enterprise maturity objectives

• Develop and optimize data pipelines and Foundry applications with ontology (data model)

• Implement data transformations to create new datasets and Foundry Ontology Objects

• Build operational applications using Foundry Tools (Workshop, Map, and/or Slate)

• Use platform monitoring and alerts tools; maintain applications as requirements change

• Work with Git/Bitbucket and CI/CD tools (Jenkins/CodeBuild/CodePipeline)

• Create and maintain documentation describing the data catalog and data objects

• Participate in agile/scrum ceremonies (stand-ups, planning, retrospectives)

• Promote continuous improvement through after-action reviews and shared learnings

• Explain technical concepts clearly to nontechnical business leaders

Requirements

• 15+ years of experience

• Strong hands-on lead engineer background

• Advanced working knowledge of SQL, Python, and PySpark

• Experience with Git/Bitbucket and CI/CD tools (Jenkins/CodeBuild/CodePipeline)

• Experience with platform monitoring and alerting tools

• Experience collaborating with SMEs to design and develop Palantir Foundry front-end applications using ontology and data pipelines

• Ability to implement data transformations and Foundry Ontology Objects

• Experience building operational applications using Workshop, Map, and/or Slate

• Experience creating and maintaining documentation for the data catalog and data objects

• Ability to participate in agile/scrum ceremonies

• Strong communication skills for explaining technical concepts to nontechnical stakeholders