Sr. Database Engineer
About The Position
The Senior Database Engineer is responsible for architecting, implementing, and optimizing enterprise‑grade data platforms built on SQL Server and modern cloud technologies. This role ensures the reliability, performance, security, and scalability of mission‑critical databases that support core business applications and analytics. The engineer provides technical leadership in database design, cloud migration, automation, and performance engineering, while driving best practices across development, DevOps, and infrastructure teams. By combining deep SQL Server expertise with cloud‑native engineering skills, this position plays a key role in advancing the organization’s data strategy, improving operational efficiency, and enabling high‑quality, data‑driven decision‑making.
Requirements
- 7+ years experience
- 7+ years of hands‑on experience working with Microsoft SQL Server in enterprise environments
Nice To Haves
- Strong understanding of HA/DR technologies, including Always On Availability Groups, clustering, and backup/restore strategies
Responsibilities
- Database Design & Architecture - This is foundational work that prevents performance issues later.
- Designing relational schemas and data models
- Normalization/denormalization decisions
- Choosing storage strategies (partitioning, clustering, indexing)
- Planning for scalability and future growth (HUGE)
- Database Administration, Reliability & Operations - Oversee SQL Server installation, configuration, clustering, Always On availability groups, and failover strategies.
- Manage capacity planning, storage optimization, and high‑availability/disaster‑recovery (HA/DR) architectures.
- Ensure 24/7 reliability for mission‑critical workloads through proactive monitoring and alerting.
- Performance Engineering & Troubleshooting - Diagnose and resolve complex performance issues involving blocking, deadlocks, I/O bottlenecks, and memory pressure.
- Conduct deep analysis using DMVs, Extended Events, Query Store, and cloud monitoring tools.
- Partner with application architects to optimize data access patterns and system design
- Documentation, Standards & Continuous Improvement - Diagnose and resolve complex performance issues involving blocking, deadlocks, I/O bottlenecks, and memory pressure.
- Conduct deep analysis using DMVs, Extended Events, Query Store, and cloud monitoring tools.
- Partner with application architects to optimize data access patterns and system design
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
