Data Management – Contractor – L4 (Data Architect)

Cynet Systems • Salt Lake, UT

1d

About The Position

This role focuses on designing and maintaining enterprise data architectures, developing and optimizing data pipelines, and ensuring data quality and governance. The Data Architect will work with various data platforms, including data warehouses, data lakes, and cloud-based solutions, to support reporting, analytics, and AI/ML applications. A key aspect of the role involves translating complex operational data into meaningful business insights and collaborating with manufacturing, operations, and engineering teams to meet business objectives. The position also involves supporting the integration of industrial systems and evaluating new data technologies.

Requirements

• 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.
• Strong verbal and written communication skills.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level