Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Lead the architecture, design, development, deployment, and maintenance of scalable backend systems, distributed services, and mission-critical REST and GraphQL APIs. Provide hands-on technical guidance, mentor engineers, establish coding standards, oversee code quality, and drive end-to-end delivery. Design asynchronous pipelines, microservices, database solutions, cloud deployments, CI/CD processes, observability, and secure cloud-native architectures on AWS.