SQL Database Engineer

Cambridge Investment Research, Inc.•Phoenix, AZ

1d•Hybrid

About The Position

We’re seeking a Database Engineer to join our Technology team. In this role, you will design, implement, and maintain high-performance, secure, and highly available database systems, including both Microsoft SQL Server and Azure SQL environments, supporting critical business applications.

Requirements

4+ years of experience in database engineering or administration
Strong expertise in: Microsoft SQL Server (on-prem) database administration
Azure SQL Database / cloud-based database administration
High availability solutions (e.g., clustering, failover groups, availability groups)
Database replication (transactional, merge, or similar technologies)
Relational database design
T-SQL (including complex stored procedures and triggers)
Strong analytical, problem-solving, and communication skills

Nice To Haves

Experience with SQL Server performance monitoring tools
Data migration and hybrid cloud environments
IIS and SharePoint environments
PostgreSQL (administration or development experience)
Test data management or synthetic data tools (e.g., Generative Data platforms, GenRocket)
Familiarity with cloud migrations and distributed systems

Responsibilities

Design, implement, and maintain relational database systems for performance, scalability, and reliability
Administer and support Microsoft SQL Server and Azure SQL databases, ensuring optimal performance and uptime
Architect and maintain high availability and disaster recovery solutions, including failover strategies
Configure and manage database replication technologies to support data distribution and system resilience
Perform core DBA functions including patching, database upgrades, environment cloning, and backup/monitoring processes
Analyze and troubleshoot performance issues across database and application layers
Partner with developers to support query optimization and performance tuning
Collaborate with business analysts and stakeholders to ensure systems align with business requirements
Support ongoing improvements to database architecture in a large-scale, complex environment