• Design, build, and optimize scalable, multi-region data infrastructure on AWS, leveraging technologies such as Aurora PostgreSQL, RDS and Snowflake. • Lead the architecture and implementation of core data systems including ingestion, transformation, storage, and orchestration layers. • Own and improve reliability, performance, and cost efficiency of data stores and their environments. • Drive adoption of best practices in data modeling, observability, infrastructure as code ( IaC ) and CI/CD automation. • Design and scale distributed data systems (e.g., PostgreSQL /Aurora, Snowflake, Kafka, caching , etc.) across regions. • Collaborate cross-functionally with application, analytics, AI teams to enable self-service data capabilities. • Provide technical leadership, mentoring, and design reviews for other engineers. • Stay current with emerging data and cloud technologies, evaluating AWS, GCP, and Azure innovations for future adoption.