Senior Database Administrator - SQL Server

Key Responsibilities

• Lead and manage MS SQL Server environments with 7+ years of experience as a production DBA.
• Expertise in T-SQL development, with a strong track record of writing, optimizing, and maintaining complex queries and procedures.
• Hands-on experience in scripting with PowerShell (mandatory) and Python (preferred) to automate administrative tasks and reduce manual interventions.
• Proactively monitor SQL Server performance and implement tuning strategies.
• Implement and maintain High Availability (HA) and Disaster Recovery (DR) solutions.
• Contribute to Azure cloud migration initiatives and hybrid environment strategies.
• Support and troubleshoot database replication using native SQL Server methods and third-party tools (e.g., Fivetran, Qlik).
• Continuously identify opportunities for automation and process improvements, particularly from a DBA efficiency standpoint.
• Share knowledge with team members and participate in ongoing training and learning initiatives.
• Lead or contribute to database migrations and upgrades.
  

Required Skills & Qualifications

• Minimum 7 years of production DBA experience.
• At least 5 years of hands-on T-SQL development experience.
• PowerShell scripting experience is required; Python scripting is highly desirable.
• Strong understanding of SQL Server performance tuning and monitoring techniques.
• Experience in cloud migrations, especially with Microsoft Azure (AWS is a plus).
• Proven ability to handle HA/DR setups in enterprise environments.
• Experience with SQL Server replication in multi-server/datacenter environments.
• Participation in On-Call support rotations.
• Familiarity with CI/CD pipelines, source control (TFS, GIT), and DevOps practices.
• Hands-on with SSRS development, SSDT, and working with ETL pipelines (Azure Data Factory, SSIS).
• Understanding of data governance including access control, encryption, and masking.
  

Preferred / Nice To Have

• Experience with Databricks, NoSQL databases (MongoDB, Cosmos DB, CouchDB), or Graph databases (Neo4j).
• Exposure to Microsoft Purview or other data cataloging tools.