Data Mesh Architecture: Secure Data Ownership and Governance in Cloud Enterprises

Sri Ramya Deevi

Abstract: The rapid adoption of cloud platforms has fundamentally reshaped enterprise data management, exposing limitations in centralized data lake and warehouse models that struggle with scalability, governance, and security. Data Mesh has emerged as a paradigm shift, decentralizing data ownership to domain teams while treating data as a product. This architectural approach emphasizes federated governance and self-serve infrastructure, promising to reduce bottlenecks and improve accountability. Distributing ownership across domains also introduces critical challenges in ensuring consistent security, regulatory compliance, and enterprise-wide data trustworthiness. This paper examines the role of Data Mesh in enabling secure data ownership and governance within cloud enterprises. It explores how principles such as domain-oriented design, federated governance, and zero-trust security models can mitigate risks while enhancing agility and collaboration. I analyze key mechanisms for embedding security at the data product level, including fine-grained access controls, encryption strategies, metadata-driven policy enforcement, and automated compliance frameworks. Case studies and industry practices illustrate the practical benefits and trade-offs of implementing Data Mesh in large-scale cloud environments. By integrating governance automation with secure domain-level ownership, Data Mesh offers a path toward resilient, scalable, and regulation-ready data ecosystems. The findings provide actionable guidance for enterprises seeking to balance innovation, security, and compliance in cloud-native data architectures.

Keywords: Data Mesh Architecture, Secure Data Ownership, Federated Governance, Cloud Data Security, Zero Trust Model, Metadata Management, Regulatory Compliance

How to Cite?: Sri Ramya Deevi, "Data Mesh Architecture: Secure Data Ownership and Governance in Cloud Enterprises", Volume 10 Issue 12, December 2021, International Journal of Science and Research (IJSR), Pages: 1654-1659, https://www.ijsr.net/getabstract.php?paperid=SR211210012705, DOI: https://dx.doi.org/10.21275/SR211210012705