Lead Data Engineer

🕒 July 17

🐊 Florida – Remote

🐊 Florida – Remote

💵 $127k - $236.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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L3Harris Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

L3Harris Technologies is a global aerospace and defense technology innovator, specializing in providing advanced solutions across air, land, sea, space, and cyber domains. The company focuses on delivering capabilities in areas such as autonomous systems, command and control, electronic warfare, and resilient communications, supporting both national security and commercial markets. Committed to innovation, L3Harris Technologies aims to advance technologies that enable their customers to effectively tackle the most complex challenges.

📋 Description

• 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.

🎯 Requirements

• 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 • Preferred Additional Skills: 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

• Health insurance • Disability insurance • 401(k) match • Flexible spending accounts • Employee Assistance Program (EAP) • Education assistance • Parental leave • Paid time off • Company-paid holidays