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# Data Management

- **Company:** American CyberSystems
- **Location:** Salt Lake City, UT, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $139,360.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Machine Learning, Operational Data Store, Cloud Services, SQL Databases, Enterprise Data Management, Cloud Platform System, Data Lakes, Information Technology, Data Management, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1023831&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* 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., * 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.

## Description

* Client 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., * 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.


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