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Data Management – Contractor – L4; Data Architect

Job in Salt Lake City, Salt Lake County, Utah, 84101, USA
Listing for: Cynet Systems
Contract position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 63 - 67 USD Hourly USD 63.00 67.00 HOUR
Job Description & How to Apply Below
Position: Data Management – Contractor – L4 (Data Architect)

Data Architect

Pay Range: $63.00hr - $67.00hr

Requirement/Must Have:
  • 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.
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.
Nice to Have:
  • 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.
Skills:
  • SQL.
  • Python.
  • Data Modeling.
  • Data Warehouses.
  • Data Lakes.
  • ETL/ELT.
  • Cloud Data Platforms.
  • Data Governance.
  • Data Quality Management.
  • PLC.
  • SCADA.
  • MES.
  • AI/ML.
Qualification And

Education:
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
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