Key Responsibilities • Design, develop, review, and optimize complex T-SQL, stored procedures, functions, views, tables, indexes, and data-access patterns. • Analyze execution plans, Query Store data, waits, blocking, memory grants, parallelism, CPU, I/O, tempdb usage, and transaction-log behavior to isolate and resolve performance issues. • Refactor row-by-row and scalar-function-heavy processing into efficient set-based designs, including appropriate use of inline table-valued functions, temporary staging, indexing, and early filtering. • Tune long-running batch, snapshot, compliance, reporting, and data-export workloads while preserving data integrity and output equivalence. • Design and validate database structures, keys, identity strategies, data models, and replication patterns for large, tightly coupled transactional workloads. • Support SQL Server upgrades and configuration changes through representative performance testing, execution-plan comparison, regression validation, and documented rollback or fix-forward plans. • Engineer and support high availability, disaster recovery, transactional replication, monitoring, maintenance, archival, purge, and capacity-management practices. • Troubleshoot production incidents with application, infrastructure, SRE, QA, and vendor teams; preserve evidence and translate findings into durable corrective actions. • Contribute to cloud and platform modernization involving Azure SQL Managed Instance, Azure SQL, data pipelines, and workload offload from monolithic SQL platforms. • Provide technical leadership through design reviews, code reviews, standards, documentation, mentoring, and knowledge transfer. RequiredRequired Required Skills 7+ years of hands-on SQL Server database engineering or development experience in enterprise environments Advanced T-SQL, stored procedure, function, indexing, data-modeling, and query-optimization skills Deep knowledge of SQL Server execution plans, Query Store, cardinality estimation, statistics, locking/blocking, waits, parallelism, memory grants, and tempdb. Experience tuning high-volume transactional and batch-processing workloads with measurable before-and-after validation. Experience with SQL Server upgrades, configuration assessment, performance testing, and production troubleshooting. Working knowledge of high availability, disaster recovery, SQL Agent, replication, backup/restore, maintenance, and operational monitoring. Strong analytical, documentation, collaboration, and incident-management skills Nice To Have Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure virtual machines. Azure Data Factory, Microsoft Fabric pipelines, Snowflake, or reporting/data-platform modernization. PowerShell or other automation for database deployment, validation, monitoring, or maintenance. Experience with financial-services transaction, compliance, reporting, or data-feed workloads. Key Responsibilities • Design, develop, review, and optimize complex T-SQL, stored procedures, functions, views, tables, indexes, and data-access patterns. • Analyze execution plans, Query Store data, waits, blocking, memory grants, parallelism, CPU, I/O, tempdb usage, and transaction-log behavior to isolate and resolve performance issues. • Refactor row-by-row and scalar-function-heavy processing into efficient set-based designs, including appropriate use of inline table-valued functions, temporary staging, indexing, and early filtering. • Tune long-running batch, snapshot, compliance, reporting, and data-export workloads while preserving data integrity and output equivalence. • Design and validate database structures, keys, identity strategies, data models, and replication patterns for large, tightly coupled transactional workloads. • Support SQL Server upgrades and configuration changes through representative performance testing, execution-plan comparison, regression validation, and documented rollback or fix-forward plans. • Engineer and support high availability, disaster recovery, transactional replication, monitoring, maintenance, archival, purge, and capacity-management practices. • Troubleshoot production incidents with application, infrastructure, SRE, QA, and vendor teams; preserve evidence and translate findings into durable corrective actions. • Contribute to cloud and platform modernization involving Azure SQL Managed Instance, Azure SQL, data pipelines, and workload offload from monolithic SQL platforms. • Provide technical leadership through design reviews, code reviews, standards, documentation, mentoring, and knowledge transfer. Required Skills 7+ years of hands-on SQL Server database engineering or development experience in enterprise environments Advanced T-SQL, stored procedure, function, indexing, data-modeling, and query-optimization skills Deep knowledge of SQL Server execution plans, Query Store, cardinality estimation, statistics, locking/blocking, waits, parallelism, memory grants, and tempdb. Experience tuning high-volume transactional and batch-processing workloads with measurable before-and-after validation. Experience with SQL Server upgrades, configuration assessment, performance testing, and production troubleshooting. Working knowledge of high availability, disaster recovery, SQL Agent, replication, backup/restore, maintenance, and operational monitoring. Strong analytical, documentation, collaboration, and incident-management skills Nice To Have Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure virtual machines. Azure Data Factory, Microsoft Fabric pipelines, Snowflake, or reporting/data-platform modernization. PowerShell or other automation for database deployment, validation, monitoring, or maintenance. Experience with financial-services transaction, compliance, reporting, or data-feed workloads