Lead, Data Engineer

Role Description

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes:

• Overseeing data ETL/ELT pipelines
• Ensuring adherence to data standards
• Maintaining data frameworks
• Conducting data cleansing
• Orchestrating data pipelines
• Ensuring data consolidation

The selected individual will play a pivotal role in:

• Maintaining ontologies
• Building scalable data solutions
• Developing dashboards to provide actionable insights for the enterprise 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
• User training

The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Qualifications

• 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.

Requirements

• 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 and disability insurance
• 401(k) match
• Flexible spending accounts
• EAP
• Education assistance
• Parental leave
• Paid time off
• Company-paid holidays