This article explores the design and implementation of scalable data architectures for big data analytics, focusing on strategies to manage high-volume, high-velocity data in modern enterprises. It emphasizes the importance of distributed systems, horizontal scaling, and fault-tolerant solutions to ensure performance and reliability in complex data environments.