Job Title: Sr DBA with SQL Server + Azure experience
Location: West Los Angeles, CA (Hybrid)
Duration: 12+ Months
Job Summary
We are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced SDLC and is passionate about building scalable, secure, and high-performance applications.
Key Responsibilities
- Design, implement, and optimize SQL Server databases for high availability, scalability, and performance.
- Lead and support Azure migration efforts for legacy databases and data services.
- Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services.
- Operate in an AI-driven SDLC environment:
- Collaborate with AI copilots to convert stakeholder requirements into structured data models and specs.
- Use generative AI tools to iterate on database architectures and performance strategies.
- Pair program with AI assistants (e.g., GitHub Copilot, Claude) to write, refactor, and validate SQL in real-time.
- Implement tools for automated validation, bug prediction, and self-healing data pipelines.
- Collaborate with application engineers to ensure seamless integration between backend data systems and product features.
- Monitor and troubleshoot database performance, security, and compliance issues.
Required Qualifications
- 6+ years of experience in database engineering with a focus on SQL Server.
- Strong understanding of database design, indexing, query optimization, and stored procedures.
- Strong experience in database modeling using third normal form with solid experience in data architecture.
- Have 3-5 years experience in NoSQL such as Cosmos.
- Solid knowledge of SQL internals in Azure SQL Database Hyperscale.
- Strong experience in optimizing database queries and stored procedures including monitoring database performance from both system and database standpoint.
- Experience using SQL Server side tracing.
- Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures.
- Expertise in reviewing stored procedure performance, reading execution plans, and making optimizations.
- Designing and writing high-performance SQL queries and table designs.
- Familiarity with AI code assistants like GitHub Copilot or similar tools.
- Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus.