• Own end-to-end QA strategy for database connectors and integrations, including JDBC, Python drivers, Single Sign On integrations, and third-party tools including but not limited to Metabase, Tableau, and DBeaver. • Design and execute functional, performance, stress, and soak tests for client-server I/O paths, network behavior, and large result-set handling. • Validate query execution correctness and performance when exercised through external clients versus native SQL execution. • Analyze connector-level performance regressions, including result fetching, pagination, batching, serialization/deserialization, compression, and network utilization. • Develop and maintain automated test frameworks (primarily in Java and Python) for connector validation, regression coverage, and performance baselining. • Design and execute benchmarks to evaluate the performance impact of different indexing strategies, including their interaction with query execution, connector-driven access patterns, and I/O behavior across representative workloads. • Debug complex failures involving client drivers, networking, serialization formats, protocol mismatches, and server-side execution paths. • Partner closely with Software Engineers across Connectors, Query Processing, I/O, and Storage teams to isolate root causes and validate fixes. • Review execution plans, logs, metrics, and traces to assess correctness and performance impact. • Act as a quality gate for connector and I/O-related features prior to release, including customer-driven fixes and escalations.