Data Management - Contractor - L4 with Security Clearance

Must- Haves (Hard Skills) :-

Key Responsibilities • Design and maintain enterprise data architectures, including data warehouses, data lakes, and cloud-based data platforms. • Develop and optimize SQL queries, data pipelines, and integration processes to support reporting and analytics. • Build and maintain scalable infrastructure for data collection, storage, analytics, and AI/ML applications.

Required Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field. • 5+ years of experience in data architecture, data engineering, database management, or related fields. • Strong proficiency with SQL, Python, and data modeling concepts. • Experience with data warehouses, data lakes, ETL/ELT processes, and cloud data platforms. • Knowledge of data governance, data quality management, and analytics best practices. • Ability to translate complex operational data into meaningful business insights.

Description: Data Architect - 9/80 Schedule, 8:00am - 5:30pm

Position Summary L3Harris is seeking a Data Architect to design, build, and maintain scalable data solutions that support manufacturing, operations, analytics, and AI initiatives. This individual will be responsible for improving data quality, developing data models and pipelines, and ensuring operational data is structured, accessible, and actionable for business decision-making.

Key Responsibilities

• Design and maintain enterprise data architectures, including data warehouses, data lakes, and cloud-based data platforms.
• Develop and optimize SQL queries, data pipelines, and integration processes to support reporting and analytics.
• Build and maintain scalable infrastructure for data collection, storage, analytics, and AI/ML applications.
• Establish data models, governance standards, and best practices for managing enterprise data.
• Clean, structure, and improve data quality across multiple systems and data sources.
• Troubleshoot and resolve data performance, reporting, refresh, and integrity issues.
• Partner with manufacturing, operations, and engineering teams to understand data requirements and deliver solutions that support business objectives.
• Support integration of industrial systems, including PLC and SCADA environments, where applicable.
• Evaluate emerging analytics, AI, and DoD data technologies and recommend improvements. Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in data architecture, data engineering, database management, or related fields.
• Strong proficiency with SQL, Python, and data modeling concepts.
• Experience with data warehouses, data lakes, ETL/ELT processes, and cloud data platforms.
• Knowledge of data governance, data quality management, and analytics best practices.
• Ability to translate complex operational data into meaningful business insights.

Preferred Qualifications

• Experience supporting manufacturing, aerospace, defense, or industrial operations.
• Familiarity with PLC, SCADA, MES, or other operational technology systems.
• Experience with AI/ML data environments and analytics platforms.
• Active Secret Clearance or ability to obtain one. Enable Skills-Based Hiring No Attachments Name Additional Details
• Minimum Education Required : BA/BS - Bachelors Degree
• Security Clearance Level Required : None