[Remote] Lead, Data Engineer Job Details | L3HHCM20

Note: The job is a remote job and is open to candidates in USA. L3Harris Technologies is seeking a Lead Data Engineer for its Enterprise Data and AI team. The role provides architectural oversight and guidance for the enterprise data platform, develops and maintains scalable data pipelines and ontologies in Palantir Foundry, and supports data governance, documentation, and user training.

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

• Bachelor's Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience
• Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python
• Minimum of 4 years of experience in Data Integration
• Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
• Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
• 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
• 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
• Familiarity with SDLC processes and architecture review or data governance board processes

Benefits

• 9/80 schedule: employees work 9 out of every 14 days—totaling 80 hours worked—and have every other Friday off
• Remote opportunity
• Health and disability insurance; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• 401(k) match; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• Flexible spending accounts; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• EAP; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• Education assistance; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• Parental leave; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• Paid time off; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements
• Company-paid holidays; specific programs and options may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements

Company Overview

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