Data Database Administrator Engineer

Greater Memphis Area | Hybrid Opportunity

A growing industry leader is seeking a Data Infrastructure Engineer (DBA) to support and modernize a complex data environment spanning both on-premises and Microsoft Azure platforms. This role will play a key part in database administration, cloud migration initiatives, performance optimization, security, and high-availability architecture supporting critical business operations across a large manufacturing enterprise.

This is an excellent opportunity for a database professional who enjoys working across infrastructure, cloud technologies, and enterprise data platforms while helping drive long-term modernization efforts.

What You'll Do

• Administer and support SQL Server environments across on-premises and Azure platforms
• Lead and support cloud migration initiatives and hybrid database architectures
• Manage database backups, restores, upgrades, patching, and ongoing maintenance
• Monitor and optimize database performance, availability, and scalability
• Design, implement, and support high availability and disaster recovery solutions
• Perform capacity planning, storage management, and infrastructure optimization
• Troubleshoot production issues and ensure operational stability
• Maintain database security, compliance, and governance standards
• Develop automation solutions using PowerShell and T-SQL
• Partner closely with software developers, BI teams, data engineers, and infrastructure teams to deliver scalable solutions

What We're Looking For

• 5+ years of SQL Server Database Administration experience
• Strong experience supporting SQL Server 2016+ environments
• Hands-on experience with Azure SQL technologies
• Advanced T-SQL development and performance tuning skills
• Experience implementing and supporting HA/DR solutions
• Strong troubleshooting, analytical, and problem-solving abilities
• Excellent communication and collaboration skills

Preferred Experience

• .NET and C# development exposure
• Azure DevOps and CI/CD pipelines
• SSIS, SSRS, SSAS, and Power BI
• Azure Data Factory or other ETL platforms
• Data warehousing and business intelligence environments
• Manufacturing, distribution, or large-scale enterprise environments