Enterprises are rethinking their data architectures to meet new and unforeseen demands for data, as adopting traditional data warehouses has reached its limits. Prioritizing interoperability, ease of use, and scalability is crucial for improving data management and building a resilient enterprise data platform. The emerging data architecture design, the data ecosystem, promises to help enterprises achieve new efficiencies, streamline data access, and optimize analytics workflows by combining metadata analysis, data integration, semantics, knowledge graphs, and machine learning into a powerful framework. A successful data ecosystem should be interoperable, customizable, and scalable, with a governed data lake or lakehouse serving as its centerpiece. Solutions like Fivetran Managed Data Lake Service can support the data fabric by providing automated data movement, open-table formats, and cross-platform interoperability, enabling enterprises to create a dynamic, self-service data environment that is well-governed, optimized for real-time analytics, and adaptable to evolving architectures and multi-cloud strategies. By investing in scalable, flexible architectures, data leaders can future-proof their organizations and unlock the full potential of their data assets.