Database Engineer

About the Role

This is a senior-level role owning data across two products.

You'll focus on PostgreSQL optimization in one product and handle performance and data modeling on Snowflake in another.

This cross-product role spans both OLTP and data warehouse work, partnering closely with an Engineering Lead and Full Stack Engineers to keep data reliable, performant, and well-structured.

What you'll do

• Own database performance and query optimization across two products.

• Optimize PostgreSQL, tuning queries, indexes, and schema for a transactional (OLTP) workload.

• Handle performance and data modeling on Snowflake, covering the data warehouse side of the engagement.

• Partner with Full Stack Engineers to design efficient, maintainable data access patterns in both codebases.

• Diagnose and resolve performance bottlenecks, slow queries, and scaling issues as they arise.

• Work with the Engineering Lead to align data architecture with the broader AWS posture and security practices.

• Apply best practices for reliability, data integrity, and security across the data layer.

• Help establish and document standards for schema design, migrations, and query performance.

What we're looking for

• Senior-level experience as a Database Engineer or in a similar data-focused role.

• Deep expertise in PostgreSQL, including query optimization, indexing, and schema design for OLTP workloads.

• Strong experience with cloud data warehouses, ideally Snowflake, including performance tuning and data modeling.

• Solid understanding of both transactional and analytical (warehouse) database patterns.

• AWS proficiency, with experience running databases in a cloud environment.

• Excellent problem-solving and communication skills, with proven experience collaborating across multiple stakeholders.

• Ability to work independently and make thoughtful technical decisions.

Nice to have

• Experience in the education sector, or in other highly regulated or rules-heavy domains (e.g., compliance, finance, healthcare, govtech).

• Familiarity with the application stacks the data layer supports (TypeScript/Node, Python/FastAPI).

• Experience supporting data for AI or LLM-powered features (e.g., Amazon Bedrock).