Data Mesh Architecture is a decentralized sociotechnical paradigm for managing analytical data at scale, shifting from centralized data platforms to domain-oriented ownership with federated governance. Introduced by Zhamak Dehghani in 2019, it addresses the bottlenecks of monolithic data warehouses and lakes by treating data as a product owned by those who best understand it. This architectural approach has evolved from initial hype into hard-won maturity in 2026, enabling organizations to build AI-ready, self-serve data ecosystems while balancing autonomy with organizational standards. The key insight: data architecture isn't just a technical challenge—it's fundamentally an organizational design problem where Conway's Law proves that team structure directly shapes how data flows.