Principal, Data Engineer

L3Harris Technologies, Inc.; Melbourne (FL); Hybrid; USD 153,000 - 284,000; Full time

Benefits offered by this job

health and disability insurance

401(k) match

flexible spending accounts

EAP

education assistance

parental leave

paid time off

company-paid holidays

Job summary

L3Harris Technologies, Inc. is seeking a Principal Data Engineer to lead enterprise data architecture and pipeline initiatives in Melbourne, FL or remote. You will shape data schemas, governance, and the semantic layer for the Unified Data Layer across the organization.

The role emphasizes Palantir Foundry integration, data modeling, and scalable ETL/ELT design, with collaboration across development teams and a focus on data quality, security, and performance.

Qualifications

• Minimum 12 years Palantir experience or 10 years with a graduate degree; in lieu of degree, 16 years Palantir experience.
• 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms.
• 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python.

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 software development lifecycle (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 architecture

Data pipeline development

ETL tools

Palantir Foundry

PySpark / Spark SQL

Python

Databricks

Azure Data Factory

Education

Bachelor’s Degree + 12+ Palantir years or Graduate Degree + 10+ Palantir years

Tools

Palantir Foundry

Azure Data Factory

SSIS

Python

Databricks

Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:Principal, Data Engineer

Job Code:46138

Job Location:Melbourne, FL; or Remote

Job Schedule:9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.

This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions

• 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 software development lifecycle (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

Qualifications

• Bachelor’s Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
• 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
• 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
• 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills

• Experience architectingPalantir Foundry platformsto enableGenerative AIcapabilities, including Retrieval-Augmented Generation (RAG),semanticsearch, and LLM integration
• Hands on experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
• Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
• Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
• Familiarity with SDLC processes and architecture review or data governance board processes
• Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
• Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
• Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar

In compliance with pay transparency requirements, the salary range for this role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Vermont and Virginia is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays.

• health and disability insurance
• 401(k) match
• flexible spending accounts
• EAP
• education assistance
• parental leave
• paid time off
• company-paid holidays

The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.