Database Architect

Responsibilities Design, develop, and implement infrastructure to provide highly‑complex, reliable, and scalable databases to meet the organization’s objectives and requirements. Familiar with a variety of the database technologies, concepts, methodologies, practices, and procedures and relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks with minimal or no direct supervision. Assists in defining system and application architecture and provides vision, problem anticipation, and problem‑solving ability to an organization. Consults with the client to define needs or issues, conduct research, perform studies and surveys to obtain data, and analyze problems to advise on or recommend solutions, utilizing knowledge of theory, principles, or technology of specific discipline or field of specialization.

PREFERRED QUALIFICATIONS

Extensive knowledge of specific database systems and capable of hands‑on work in all phases of database design and management. Experience in various technologies and roles including database systems of any type and size. Experience in working on database conversion. Design normalized schemas across multiple databases. Design data partitioning strategy for large tables (50M+ records). Create database security architecture. Design audit trail and history tracking mechanisms. Establish backup and recovery architecture. Design high availability and disaster recovery solutions. Data Migration (25%) Design and implement data validation procedures. Develop rollback and recovery procedures. Perform data quality assessment and cleansing. Coordinate with developers on core integration with the business logic. Validate referential integrity and relationships. Create migration scripts and automation. Performance Optimization (20%) Design indexing strategy for optimal performance. Tune stored procedures and functions. Monitor and resolve performance bottlenecks. Design caching strategies. Optimize batch processing (6‑hour window to 4‑hour target). Implement table partitioning for large tables. Conduct performance testing and benchmarking. Database Administration (15%) Install, configure, and maintain SQL Server instances. Implement security policies and access controls. Manage database users, roles, and permissions. Monitor database health and performance. Implement backup and recovery procedures. Perform database maintenance (index rebuilds, statistics updates). Manage database growth and capacity planning. Implement monitoring and alerting. Troubleshoot database issues. Coordinate with cloud infrastructure team. High Availability & Disaster Recovery (10%) Implement SQL Server Always On Availability Groups. Design and test disaster recovery procedures. Achieve RPO Implement automated failover mechanisms. Conduct DR testing and validation. Document DR procedures and runbooks. Coordinate with cloud team on multi‑region deployment. Required Qualifications – Technical Skills (Must Have) 8+ years of SQL Server administration experience. Expert knowledge of SQL Server 2019/2022. Advanced T‑SQL programming (stored procedures, functions, triggers, views). Query optimization and execution plan analysis. Index design and optimization. Database design and normalization (1NF through 5NF). SQL Server security and compliance. Backup and recovery strategies. SQL Server Agent and job scheduling. Database maintenance plans. SQL Server Always On Availability Groups. Database mirroring and replication. Backup and restore strategies. Point‑in‑time recovery. Disaster recovery planning and testing. Query performance tuning and optimization. Index tuning and maintenance. Execution plan analysis. Wait statistics analysis. Blocking and deadlock resolution. Resource Governor configuration. Memory and CPU optimization. I/O optimization. Performance monitoring tools (SQL Profiler, Extended Events, DMVs). AWS RDS for SQL Server (3+ years). Cloud database security and compliance. Cloud backup and recovery. Cloud monitoring and alerting. ETL tools and processes (SSIS, Azure Data Factory, AWS DMS). Data validation and quality assurance. Network database to relational conversion. Data mapping and transformation. Migration automation and scripting. PowerShell scripting for automation. T‑SQL scripting. Source code management, GITHUB. Automated testing frameworks. Professional Experience (Must Have) 10+ years of database administration experience. 8+ years of SQL Server administration. 3+ years of cloud database experience (Azure SQL or AWS RDS). Experience with large‑scale data migrations (500GB+ databases). Experience with mission‑critical systems (99.9%+ uptime). Led or participated in database modernization projects. Experience with high‑transaction environments (50K+ transactions/day). Experience with Agile/Scrum methodologies. #J-18808-Ljbffr Mbi Llc