Secure Financial Data Lake Architecture: Balancing Regulatory Compliance and Analytics Capabilities

Abstract

The proliferation of diverse financial data coupled with increasingly stringent regulatory demands has necessitated the adoption of data lakes by financial institutions. This article explores the critical requirements for building secure and compliant financial data lakes that effectively support regulatory reporting obligations. It examines architectural foundations incorporating security-by-design principles, zoning strategies, and infrastructure considerations for modern financial data environments. The article delves into sophisticated data governance mechanisms including hybrid access control frameworks, layered encryption approaches, and data protection techniques that balance security with analytical utility. The article further explores the operationalization of compliance through regulatory control mapping, automated policy enforcement, specialized reporting workflows, and continuous assessment methodologies. Looking forward, the article highlights emerging technologies transforming compliance automation, including advanced natural language processing, distributed ledger technologies, and AI-driven regulatory intelligence. By integrating security and compliance throughout the data lifecycle, this work provides a comprehensive framework for financial institutions to leverage data lakes for regulatory reporting while mitigating risks in an increasingly complex landscape.