IT Architect - Database

The IT Architect - Database (Sr. DBA) is responsible for the design, administration, optimization, and governance of AAON’s enterprise database environments, ensuring high availability, performance, security, and reliability of critical data systems. This role will lead the stabilization and modernization of the SQL Server environment while supporting the evolution of AAON’s broader data platform strategy, including integration with Azure data services and the enterprise data lake., * Define and lead database architecture and administration strategy across the enterprise

• Administer SQL Server environments including provisioning, patching, backup, and recovery
• Manage high availability configurations (clustering, AlwaysOn)
• Optimize performance through query tuning, indexing, and resource management
• Support integration with enterprise applications and data platforms
• Implement database security, access controls, and compliance monitoring
• Design and maintain backup, recovery, and disaster recovery processes
• Implement monitoring, maintenance plans, and capacity planning
• Collaborate with Data & Analytics, application, and infrastructure teams, * Stabilizes and modernizes AAON’s core database environment
• Improves data reliability for operations and analytics
• Supports enterprise data platform and analytics strategy
• Enables scalable and governed data infrastructure

• 8-10+ years of SQL Server database administration experience
• Strong knowledge of high availability (AlwaysOn, clustering)
• Expertise in performance tuning and query optimization
• Experience with backup and recovery strategies
• Strong understanding of database security and governance
• Experience supporting enterprise-scale systems
• Strong problem-solving and troubleshooting skills

Preferred Qualifications

• Experience with Azure data services (Azure SQL, Data Lake, Synapse, Fabric)
• Experience supporting analytics and reporting platforms
• Experience with ETL/data integration processes
• Experience modernizing legacy database environments

Key Success Metrics

• Improved database performance and stability
• Reduction in downtime and incidents
• Standardized backup and maintenance processes
• Improved data quality and availability
• Increased scalability for future growth