| Job Taxonomy: | Database Engineer |
| Job Title: | Senior DBA/DBE Engineer |
| Job Description: | Senior DBA/DBE Engineer SQL Server Performance & Scalability | Job Description Position Details Department: Technology Database Engineering & Operations Reports To: Director, Database Engineering Engagement Type: [Consultant / Contract-to-Hire] About Green Dot Financial technology company and bank holding company Green Dot Bank is regulated by the OCC and FDIC Runs prepaid, debit, banking-as-a-service (BaaS), and money-processing platforms Operates mission-critical, high-volume transactional systems Treats reliability, data integrity, and security as non-negotiable Position Summary Technical authority on SQL Server internals, performance engineering, and scalability Hands-on, high-impact role supporting our highest-volume financial transaction databases Diagnoses and fixes hot spots, latch/lock contention, blocking, plan regressions, and I/O bottlenecks Designs durable fixes: partitioning, indexing standards, query redesign, and HA/DR architecture Works with application engineering, SRE, architecture, and security teams Mentors the internal DBA team and serves as the escalation point Driving outcomes: Owns results end to end, from diagnosis to measurable improvement in latency, stability, and scalability, with clear accountability and follow-through Key Responsibilities Apply deep knowledge of SQL Server internals (storage engine, query optimizer, SQLOS, memory, transaction log, tempdb) to diagnose complex production issues Perform root-cause analysis using wait statistics, DMVs, Extended Events, Query Store, and PerfMon counters Have strong knowledge of Stored Procedure design and optimization skills. Should have ability to read code and provide feedback to optimize the code. Analyze execution plans at the operator level: cardinality estimation, memory grants, spills, parallelism, and row goals Advise on engine configuration: MAXDOP, cost threshold for parallelism, compatibility levels, database-scoped configurations, and trace flags Own end-to-end performance tuning for latency-sensitive OLTP workloads (authorization, ledger, payments, account services) Resolve parameter sniffing, plan regressions, implicit conversions, and non-SARGable predicates Use Query Store and Intelligent Query Processing features for baselining, plan forcing, and regression control Govern indexing and statistics strategy: clustered key design, covering and filtered indexes, columnstore, and maintenance Troubleshoot and resolve hot spots, including last-page insert contention (PAGELATCH_EX), tempdb contention, and spinlock contention Resolve blocking chains, deadlocks, lock escalation, and isolation-level issues, recommending RCSI or snapshot isolation where appropriate Write, refactor, and review complex high-performance T-SQL, including stored procedures, set-based logic, window functions, and dynamic SQL written to be safe from SQL injection Review developer and ORM-generated (e.g., Entity Framework) SQL, and publish coding standards and anti-pattern guidance Design batched large data changes (purges, backfills, archival) that are safe to run online Design and operate table and index partitioning for multi-billion-row financial tables, including sliding-window patterns (SWITCH, SPLIT, MERGE) Support data lifecycle, archival, compression, and retention that meet regulatory requirements Design, implement, and troubleshoot Always On Availability Groups (sync/async commit, readable secondaries, distributed AGs, WSFC quorum) Diagnose AG redo lag, log send queue growth, HADR_SYNC_COMMIT waits, and failover issues Design, operate, and troubleshoot transactional and peer-to-peer replication, including latency and data consistency issues Validate HA/DR against RTO/RPO targets, and lead DR tests and failover drills with audit-ready documentation Enforce least-privilege access and data protection controls (TDE, Always Encrypted, TLS, SQL Server Audit) Support audit readiness for PCI-DSS, SOX, GLBA, and FFIEC-aligned controls, and follow CAB change management Design proactive monitoring and alerting for performance, blocking, AG health, replication, jobs, and capacity Build idempotent automation with PowerShell (dbatools), T-SQL, and CI/CD pipelines Find opportunities for AI-assisted operations, anomaly detection, and self-healing remediation Lead or support P1/P2 incidents, and deliver RCA reports with corrective and preventive actions Establish performance baselines, SLOs, and capacity models, and quantify every change with before/after metrics Mentor DBAs and developers, and present findings to leadership in terms of risk, cost, and business impact Required Qualifications 10+ years of hands-on SQL Server DBA or database engineering experience 5+ years in a senior or principal-level performance-focused role Expert knowledge of SQL Server 20162022 internals Proven tuning of large, high-concurrency OLTP systems (thousands of TPS, multi-TB databases) Experience in financial services, payments, or banking Demonstrated resolution of hot spot, latch, lock, and tempdb contention in production Advanced T-SQL development and execution plan analysis Hands-on design and operation of partitioning at scale Deep production experience with Always On AGs and SQL Server Replication Strong proficiency with Query Store, Extended Events, DMVs, and wait-stats methodology Working knowledge of Windows Server, WSFC, SAN/NVMe storage, and virtualization PowerShell scripting and automation (dbatools preferred) Experience working under PCI-DSS, SOX, or similar audit controls Strong written communication, including RCA reports and executive summaries Preferred Qualifications Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure/AWS VMs Cloud performance and cost optimization experience In-Memory OLTP and columnstore for hybrid workloads SQL Server on Linux and containers Database DevOps: SSDT, Flyway, or Liquibase, plus CI/CD and automated testing Additional platforms such as PostgreSQL, Cosmos DB, or Snowflake Certifications such as DP-300 (Azure Database Administrator Associate) or MCSE/MCM Data Platform Community contributions (blogs, speaking, open-source tools) Key Competencies Analytical rigor: Diagnoses with evidence (waits, plans, XE), not guesswork Production ownership: Stays calm under P1 pressure; contains the impact first, then fixes permanently Engineering judgment: Weighs reliability, performance, cost, and complexity trade-offs Communication: Explains technical findings in terms of business impact Knowledge transfer: Builds team capability and documents to audit-ready standards |
| Location | Miami, FL |
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