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.