Data engineering Architecture Review

Data Engineering Architecture Review is a structured assessment of a data system’s design, focusing on scalability, reliability, cost-efficiency, and alignment with business objectives. It involves evaluating data ingestion, storage, processing, and consumption layers, including data pipelines, workflows, and infrastructure. The review identifies architectural gaps, bottlenecks, or inefficiencies, ensuring that the overall data ecosystem adheres to best practices in performance optimization, security, governance, and maintainability.