{"schemaVersion":"jobsearcher.job.v1","id":"fb37da326fa31c83952dc8e8","url":"https://jobsearcher.com/jobs/fb37da326fa31c83952dc8e8","canonicalUrl":"https://jobsearcher.com/jobs/fb37da326fa31c83952dc8e8","title":"9093 - SQL Data","description":"Senior DBA/DBE Consultant\r\nSQL Server Performance & Scalability | Job Description\r\nPosition Details\r\nTitle:Senior DBA/DBE Consultant\r\nClient:A leading U.S. financial technology company and regulated bank\r\nDepartment:Technology – Database Engineering & Operations\r\nLocation:Remote / Hybrid. Must be able to travel for 1–2 weeks to either Miami or Northern California\r\nEngagement Type:[Consultant / Contract-to-Hire]\r\nAbout the Client\r\nFinancial technology company and bank holding company, operating under federal banking regulation\r\nRuns high-volume payments, banking, and money-processing platforms\r\nOperates mission-critical transactional systems at scale\r\nTreats reliability, data integrity, and security as non-negotiable\r\nPosition Summary\r\nServe as the technical authority on SQL Server internals, performance engineering, and scalability\r\nHands-on, high-impact role supporting the client's highest-volume financial transaction databases\r\nDiagnose and fix hot spots, latch/lock contention, blocking, plan regressions, and I/O bottlenecks\r\nDesign durable fixes: partitioning, indexing standards, query redesign, and HA/DR architecture\r\nWork with application engineering, SRE, architecture, and security teams\r\nMentor the client's DBA team and serve as the escalation point\r\nOwn outcomes end to end, from diagnosis to measurable improvements in latency, stability, and scalability, with clear accountability and follow-through\r\nKey Responsibilities\r\nApply deep knowledge of SQL Server internals (storage engine, query optimizer, SQLOS, memory, transaction log, tempdb) to diagnose complex production issues\r\nPerform root-cause analysis using wait statistics, DMVs, Extended Events, Query Store, and PerfMon counters\r\nDesign and optimize stored procedures; read existing code and give clear feedback to improve its performance\r\nAnalyze execution plans at the operator level: cardinality estimation, memory grants, spills, parallelism, and row goals\r\nAdvise on engine configuration: MAXDOP, cost threshold for parallelism, compatibility levels, database-scoped configurations, and trace flags\r\nOwn end-to-end performance tuning for latency-sensitive OLTP workloads (authorization, ledger, payments, account services)\r\nResolve parameter sniffing, plan regressions, implicit conversions, and non-SARGable predicates\r\nUse Query Store and Intelligent Query Processing features for baselining, plan forcing, and regression control\r\nGovern indexing and statistics strategy: clustered key design, covering and filtered indexes, columnstore, and maintenance\r\nTroubleshoot and resolve hot spots, including last-page insert contention (PAGELATCH_EX), tempdb contention, and spinlock contention\r\nResolve blocking chains, deadlocks, lock escalation, and isolation-level issues, recommending RCSI or snapshot isolation where appropriate\r\nWrite, refactor, and review complex high-performance T-SQL, including stored procedures, set-based logic, window functions, and dynamic SQL that is safe from SQL injection\r\nReview developer and ORM-generated (e.g., Entity Framework) SQL, and publish coding standards and anti-pattern guidance\r\nDesign batched large-scale data changes (purges, backfills, archival) that can run safely online\r\nDesign and operate table and index partitioning for multi-billion-row financial tables, including sliding-window patterns (SWITCH, SPLIT, MERGE)\r\nSupport data lifecycle, archival, compression, and retention in line with regulatory requirements\r\nDesign, implement, and troubleshoot Always On Availability Groups (sync/async commit, readable secondaries, distributed AGs, WSFC quorum)\r\nDiagnose AG redo lag, log send queue growth, HADR_SYNC_COMMIT waits, and failover issues\r\nDesign, operate, and troubleshoot transactional and peer-to-peer replication, including latency and data consistency issues\r\nValidate HA/DR against RTO/RPO targets, and lead DR tests and failover drills with audit-ready documentation\r\nEnforce least-privilege access and data protection controls (TDE, Always Encrypted, TLS, SQL Server Audit)\r\nSupport audit readiness for PCI-DSS, SOX, GLBA, and FFIEC-aligned controls, and follow CAB change management\r\nDesign proactive monitoring and alerting for performance, blocking, AG health, replication, jobs, and capacity\r\nBuild idempotent automation with PowerShell (dbatools), T-SQL, and CI/CD pipelines\r\nIdentify opportunities for AI-assisted operations, anomaly detection, and self-healing remediation\r\nLead or support P1/P2 incidents, and deliver RCA reports with corrective and preventive actions\r\nEstablish performance baselines, SLOs, and capacity models, and quantify every change with before/after metrics\r\nMentor DBAs and developers, and present findings to leadership in terms of risk, cost, and business impact\r\nRequired Qualifications\r\n10+ years of hands-on SQL Server DBA or database engineering experience\r\n5+ years in a senior or principal-level, performance-focused role\r\nExpert knowledge of SQL Server 2016–2022 internals\r\nProven tuning of large, high-concurrency OLTP systems (thousands of TPS, multi-TB databases)\r\nExperience in financial services, payments, or banking\r\nDemonstrated resolution of hot spot, latch, lock, and tempdb contention in production\r\nAdvanced T-SQL development and execution plan analysis\r\nHands-on design and operation of partitioning at scale\r\nDeep production experience with Always On AGs and SQL Server Replication\r\nStrong proficiency with Query Store, Extended Events, DMVs, and wait-stats methodology\r\nWorking knowledge of Windows Server, WSFC, SAN/NVMe storage, and virtualization\r\nPowerShell scripting and automation (dbatools preferred)\r\nExperience working under PCI-DSS, SOX, or similar audit controls\r\nStrong written communication, including RCA reports and executive summaries\r\nPreferred Qualifications\r\nCloud performance and cost optimization experience\r\nIn-Memory OLTP and columnstore for hybrid workloads\r\nSQL Server on Linux and containers\r\nDatabase DevOps: SSDT, Flyway, or Liquibase, plus CI/CD and automated testing\r\nAdditional platforms such as PostgreSQL, Cosmos DB, or Snowflake\r\nCertifications such as DP-300 (Azure Database Administrator Associate) or MCSE/MCM Data Platform\r\nCommunity contributions (blogs, speaking, open-source tools)\r\nAnalytical rigor:Diagnoses with evidence (waits, plans, XE), not guesswork\r\nProduction ownership:Stays calm under P1 pressure; contains the impact first, then fixes it permanently\r\nEngineering judgment:Weighs reliability, performance, cost, and complexity trade-offs\r\nCommunication:Explains technical findings in terms of business impact\r\nKnowledge transfer:Builds team capability and documents to audit-ready standards#J-18808-Ljbffr","company":"Unosquare","rawCompany":"unosquare","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-10T01:37:08.662Z","occupations":[{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"9093 - SQL Data","description":"Senior DBA/DBE Consultant\r\nSQL Server Performance & Scalability | Job Description\r\nPosition Details\r\nTitle:Senior DBA/DBE Consultant\r\nClient:A leading U.S. financial technology company and regulated bank\r\nDepartment:Technology – Database Engineering & Operations\r\nLocation:Remote / Hybrid. Must be able to travel for 1–2 weeks to either Miami or Northern California\r\nEngagement Type:[Consultant / Contract-to-Hire]\r\nAbout the Client\r\nFinancial technology company and bank holding company, operating under federal banking regulation\r\nRuns high-volume payments, banking, and money-processing platforms\r\nOperates mission-critical transactional systems at scale\r\nTreats reliability, data integrity, and security as non-negotiable\r\nPosition Summary\r\nServe as the technical authority on SQL Server internals, performance engineering, and scalability\r\nHands-on, high-impact role supporting the client's highest-volume financial transaction databases\r\nDiagnose and fix hot spots, latch/lock contention, blocking, plan regressions, and I/O bottlenecks\r\nDesign durable fixes: partitioning, indexing standards, query redesign, and HA/DR architecture\r\nWork with application engineering, SRE, architecture, and security teams\r\nMentor the client's DBA team and serve as the escalation point\r\nOwn outcomes end to end, from diagnosis to measurable improvements in latency, stability, and scalability, with clear accountability and follow-through\r\nKey Responsibilities\r\nApply deep knowledge of SQL Server internals (storage engine, query optimizer, SQLOS, memory, transaction log, tempdb) to diagnose complex production issues\r\nPerform root-cause analysis using wait statistics, DMVs, Extended Events, Query Store, and PerfMon counters\r\nDesign and optimize stored procedures; read existing code and give clear feedback to improve its performance\r\nAnalyze execution plans at the operator level: cardinality estimation, memory grants, spills, parallelism, and row goals\r\nAdvise on engine configuration: MAXDOP, cost threshold for parallelism, compatibility levels, database-scoped configurations, and trace flags\r\nOwn end-to-end performance tuning for latency-sensitive OLTP workloads (authorization, ledger, payments, account services)\r\nResolve parameter sniffing, plan regressions, implicit conversions, and non-SARGable predicates\r\nUse Query Store and Intelligent Query Processing features for baselining, plan forcing, and regression control\r\nGovern indexing and statistics strategy: clustered key design, covering and filtered indexes, columnstore, and maintenance\r\nTroubleshoot and resolve hot spots, including last-page insert contention (PAGELATCH_EX), tempdb contention, and spinlock contention\r\nResolve blocking chains, deadlocks, lock escalation, and isolation-level issues, recommending RCSI or snapshot isolation where appropriate\r\nWrite, refactor, and review complex high-performance T-SQL, including stored procedures, set-based logic, window functions, and dynamic SQL that is safe from SQL injection\r\nReview developer and ORM-generated (e.g., Entity Framework) SQL, and publish coding standards and anti-pattern guidance\r\nDesign batched large-scale data changes (purges, backfills, archival) that can run safely online\r\nDesign and operate table and index partitioning for multi-billion-row financial tables, including sliding-window patterns (SWITCH, SPLIT, MERGE)\r\nSupport data lifecycle, archival, compression, and retention in line with regulatory requirements\r\nDesign, implement, and troubleshoot Always On Availability Groups (sync/async commit, readable secondaries, distributed AGs, WSFC quorum)\r\nDiagnose AG redo lag, log send queue growth, HADR_SYNC_COMMIT waits, and failover issues\r\nDesign, operate, and troubleshoot transactional and peer-to-peer replication, including latency and data consistency issues\r\nValidate HA/DR against RTO/RPO targets, and lead DR tests and failover drills with audit-ready documentation\r\nEnforce least-privilege access and data protection controls (TDE, Always Encrypted, TLS, SQL Server Audit)\r\nSupport audit readiness for PCI-DSS, SOX, GLBA, and FFIEC-aligned controls, and follow CAB change management\r\nDesign proactive monitoring and alerting for performance, blocking, AG health, replication, jobs, and capacity\r\nBuild idempotent automation with PowerShell (dbatools), T-SQL, and CI/CD pipelines\r\nIdentify opportunities for AI-assisted operations, anomaly detection, and self-healing remediation\r\nLead or support P1/P2 incidents, and deliver RCA reports with corrective and preventive actions\r\nEstablish performance baselines, SLOs, and capacity models, and quantify every change with before/after metrics\r\nMentor DBAs and developers, and present findings to leadership in terms of risk, cost, and business impact\r\nRequired Qualifications\r\n10+ years of hands-on SQL Server DBA or database engineering experience\r\n5+ years in a senior or principal-level, performance-focused role\r\nExpert knowledge of SQL Server 2016–2022 internals\r\nProven tuning of large, high-concurrency OLTP systems (thousands of TPS, multi-TB databases)\r\nExperience in financial services, payments, or banking\r\nDemonstrated resolution of hot spot, latch, lock, and tempdb contention in production\r\nAdvanced T-SQL development and execution plan analysis\r\nHands-on design and operation of partitioning at scale\r\nDeep production experience with Always On AGs and SQL Server Replication\r\nStrong proficiency with Query Store, Extended Events, DMVs, and wait-stats methodology\r\nWorking knowledge of Windows Server, WSFC, SAN/NVMe storage, and virtualization\r\nPowerShell scripting and automation (dbatools preferred)\r\nExperience working under PCI-DSS, SOX, or similar audit controls\r\nStrong written communication, including RCA reports and executive summaries\r\nPreferred Qualifications\r\nCloud performance and cost optimization experience\r\nIn-Memory OLTP and columnstore for hybrid workloads\r\nSQL Server on Linux and containers\r\nDatabase DevOps: SSDT, Flyway, or Liquibase, plus CI/CD and automated testing\r\nAdditional platforms such as PostgreSQL, Cosmos DB, or Snowflake\r\nCertifications such as DP-300 (Azure Database Administrator Associate) or MCSE/MCM Data Platform\r\nCommunity contributions (blogs, speaking, open-source tools)\r\nAnalytical rigor:Diagnoses with evidence (waits, plans, XE), not guesswork\r\nProduction ownership:Stays calm under P1 pressure; contains the impact first, then fixes it permanently\r\nEngineering judgment:Weighs reliability, performance, cost, and complexity trade-offs\r\nCommunication:Explains technical findings in terms of business impact\r\nKnowledge transfer:Builds team capability and documents to audit-ready standards#J-18808-Ljbffr","datePosted":"2026-10-10T01:37:08.662Z","dateModified":"2026-10-10T01:37:08.662Z","hiringOrganization":{"@type":"Organization","name":"Unosquare","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fb37da326fa31c83952dc8e8"},"url":"https://jobsearcher.com/jobs/fb37da326fa31c83952dc8e8"}}