Lead Data Engineer — Remote (Palantir Foundry)

L3Harris

Melbourne (FL)

Hybrid

USD 110,500 - 236,500

Full time

14 days+

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Job summary

L3Harris is seeking a Lead Data Engineer to oversee enterprise data lifecycle, ETL/ELT pipelines, and ontology management within Palantir Foundry. You will shape data governance, build scalable data solutions, and deliver dashboards for strategic decision-makers across the organization.

You'll collaborate with cross-functional teams to ensure data standards, supporting the Unified Data Layer and modern data platform. Remote-friendly with Florida options and a 9/80 schedule.

Qualifications

  • Palantir experience: 9+ years with a Bachelor’s or 7+ years with a Graduate degree (or 13 years in lieu of degree).
  • Minimum 4 years of Data Pipeline development or ETL tooling experience (Palantir Foundry, Azure Data Factory, SSIS, Python).
  • Minimum 4 years of Data Integration experience.

Responsibilities

  • Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices.
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling.
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability.
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the SDLC.
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards.
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance.
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale.
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise.
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture.

Skills

Data Pipeline development
Data Integration
Palantir Foundry experience
Python

Education

Bachelor’s Degree
Graduate Degree

Tools

Palantir Foundry
Azure Data Factory
SSIS
Python

Job description

L3Harris is seeking a Lead Data Engineer to oversee enterprise data lifecycle, ETL/ELT pipelines, and ontology management within Palantir Foundry. You will shape data governance, build scalable data solutions, and deliver dashboards for strategic decision-makers across the organization.

You'll collaborate with cross-functional teams to ensure data standards, supporting the Unified Data Layer and modern data platform. Remote-friendly with Florida options and a 9/80 schedule.

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