Lead Engineer, Database Engineering

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., * 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.

• 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 3rd Normal form with solid experience in data architect.

• Have 3-5 years' experience in No SQL experience such as COSMOS.

• Having solid knowledge of SQL Internals in Azure SQL Database Hyperscale

• Strong experience in optimizing database queries and stored procedures including monitoring database performance both system and database standpoint.

• Has strong experience using SQL Server side Trace.

• Proven experience with Azure SQL, Azure Data Factory, and cloud-native data architectures.

• Expertise in reviewing stored proc 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.

Ability to work in the U.S. without sponsorship Ability to meet the location requirement outlined above

The targeted base salary for this position is $130,800 to $186,300 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.

We're looking for talented professionals to join us in bringing smart money management and payment solutions to everyone's fingertips. This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.