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Data Services Manager & Architect

Job in Brighton, Adams County, Colorado, 80601, USA
Listing for: Adams County
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Database Administrator, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

The Data Services Manager & Architect provides strategic and technical leadership for the County's enterprise data environment. Builds the practice of Data Services and supervises technical staff, leads enterprise data initiatives, and provides expert guidance on database technologies, cloud platforms, data governance, and modernization efforts. Oversees data services operations and performance, supports business intelligence and reporting initiatives, and ensures availability, integrity, security, and accessibility of data.

Applicants must be authorized to work in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

  • Supervise and mentor assigned staff, provide technical leadership, review work assignments, establish priorities, and manage vendor relationships. Works with County departments, cross-functional teams, and external vendors.
  • Responsible for the architecture, governance, security, administration, integration, and operational management of enterprise databases, data warehouses, and analytics platforms.
  • Develops and maintains enterprise data classification and standards.
  • Architect scalable data solutions that support systems, analytics, regulatory compliance, and strategic decision-making.
  • Develop and maintain conceptual, logical, and physical data models supporting transactional (OLTP), analytical (OLAP), reporting, and business intelligence systems.
  • Administer, monitor, secure, and optimize enterprise database platforms through performance tuning, capacity planning, backup and recovery, disaster recovery, patch management, and automation.
  • Design and oversee data integration, ETL/ELT engineering processes, APIs, event-driven integrations, and data migration strategies supporting enterprise applications and legacy system modernization.
  • Evaluate emerging database technologies, cloud services, and data management tools; recommend solutions that improve performance, scalability, security, and cost-effectiveness.
  • Investigate data anomalies, perform root cause analysis, and implement corrective actions to improve data integrity and reliability.
  • Ensure compliance with applicable security, privacy, regulatory, and records management requirements.
  • Develop enterprise data standards, reference architectures, documentation, and operational procedures.
  • Collaborate with infrastructure, cybersecurity, software development, GIS, and departmental stakeholders to ensure enterprise data solutions align with County technology strategy.
  • Bachelor’s degree in computer science, Information Systems, Data Management, or a related field; equivalent combination of education and experience may be considered.
  • At least 7+ years of experience in enterprise data, with a focus on data architecture, administration, management, support, and optimization. Prior experience in a leadership or management role is highly preferred.
  • Significant experience architecting, designing, implementing, and administering enterprise database and data warehouse solutions.
  • Experience with relational and non-relational databases, cloud data platforms, ETL/ELT processes, and enterprise reporting environments.
  • Experience leading technical projects and coordinating cross-functional teams.
  • Enterprise data architecture, database design, and data modeling.
  • Database administration, performance tuning, backup and recovery, high availability, and disaster recovery.
  • Data warehousing, business intelligence, analytics, and data integration methodologies.
  • Data governance, metadata management, master data management, and data quality practices.
  • Cloud data platforms and hybrid architectures.
  • SQL and database automation; experience with scripting languages such as C#, Python, or Power Shell is desirable.
  • Information…
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