We are seeking a highly experienced and detail-oriented Senior SQL Server Database Administrator / Data Architect to lead the design, implementation, and maintenance of our SQL Server database infrastructure. The ideal candidate will have over a decade of experience with SQL Server, a deep understanding of database architecture and performance tuning, and a proven track record of building scalable and secure database solutions
Key Responsibilities
Design, implement, and maintain complex SQL Server database solutions.
Develop and optimize physical and logical data models.
Perform database performance tuning, monitoring, and troubleshooting.
Ensure high availability, disaster recovery, and business continuity strategies.
Collaborate with development teams to optimize schema design and queries.
Lead database modernization and migration projects, including to/from cloud platforms.
Create and maintain database documentation, standards, and best practices.
Implement security measures to safeguard sensitive data (encryption, auditing, RBAC).
Plan capacity and storage, forecast growth, and recommend infrastructure improvements.
Mentor junior DBAs and developers, and lead database-related initiatives.
Technical Skills & Qualifications
10+ years of hands-on experience with SQL Server (2012–2022).
Deep expertise in T-SQL, stored procedures, indexing, and query optimization.
Strong experience with SSIS, SSRS, and SSAS.
Proficient in backup/restore strategies, Always On availability groups, replication.
Experience with data warehousing, dimensional modeling, and ETL frameworks.
Working knowledge of cloud platforms (Azure SQL Database, AWS RDS, etc.) is a plus.
Familiarity with DevOps practices and CI/CD for database deployments.
Strong understanding of data governance, compliance (GDPR, HIPAA, etc.).
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Certifications like Microsoft Certified: Azure Data Engineer/Database Administrator Associate are a plus.
Nice To Have
Experience with non-relational databases (NoSQL, Cosmos DB, MongoDB, etc.)
Power BI or other data visualization experience.
Knowledge of data lake and data mesh architectures.
Scripting skills (PowerShell, Python) for automation.
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