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.

Responsibilities

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.

Qualifications

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

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