Lead Data Engineer OR Architect with Palantir Foundry

MethodHub
Atlanta, US

Job Description

Job Title: Lead Data Engineer/Architect with Palantir Foundry

Location: Dallas, TX/Seattle, WA/Atlanta, GA/NY, NJ

FULLTIME

We are seeking a highly experienced 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.

Key Responsibilities

Data Architecture & Pipeline Engineering

  • Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.
  • Architect scalable data frameworks that support high-performance analytics and operational workflows.
  • Conduct data cleansing, transformation, and validation to ensure data quality and consistency.

Palantir Foundry Platform Expertise

  • Configure and manage data connections, Pipeline Builder, and Contour for data exploration and visualization.
  • Develop and maintain ontology objects, ensuring semantic consistency and reusability across applications.
  • Manage code repositories and version control within Foundry, promoting modular and maintainable engineering practices.

Ontology-Aware Application Development

  • Collaborate with data owners and domain experts to ingest, transform, and model data into ontology-driven applications such as Workshop and Quiver.
  • Maintain clarity on the end-to-end architecture and data flow, ensuring seamless integration from ingestion to ontology.

Cross-Functional Collaboration & Leadership

  • Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
  • Engage with senior leadership to maintain a feedback loop for Foundry program improvements.
  • Provide mentorship and technical guidance to junior engineers and analysts.

Operational Excellence & Cost Management

  • Establish and maintain cost monitoring and reporting for Foundry-related operations.
  • Lead efforts in troubleshooting, performance tuning, and platform stability.

Continuous Improvement & Innovation

  • Stay current with Foundry platform updates, emerging features, and best practices.
  • Identify opportunities for automation, optimization, and innovation in data workflows.
  • Explore and evaluate GenAI capabilities for potential integration into data processes.

Skills & Requirements

Technical Skills

PysparkSpark sqlPythonNode.jsReactPostgresqlAwsDockerGitopsJestMochaSupertestDatadogLaunchdarklyMongodbTableauLeadershipCommunicationTeamworkProblem-solvingCollaborationMentorshipTechnical guidanceFinanceHealthcareTechnologyData scienceData engineeringData architectureData analytics

Employment Type

FULL TIME

Level

senior

Posted

5/8/2026

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