**Conceptual data architecture** is the highest level of abstraction within [[Data architecture|data architecture]], defining the fundamental structure of an organization's data assets in terms of major subject areas, key entities, and their relationships — independent of any specific technology, platform, or implementation detail. It serves as a communication bridge between business stakeholders and technical teams, expressing data organization in terms that reflect business concepts and strategic priorities rather than database structures or system configurations. A conceptual data architecture typically identifies the core [[Data domain|data domains]] of an organization — such as customer, product, finance, or location — and establishes how these domains relate to one another at a high level. It does not specify [[Data type|data types]], [[Primary key|keys]], or [[Attribute (computing)|attributes]] in detail; these concerns are addressed at the [[Logical data model|logical]] and [[Physical data model|physical]] levels of the data modeling hierarchy. The conceptual layer is instead concerned with ensuring that the organization has a coherent, shared understanding of its data landscape, often represented through [[Entity–relationship model|entity–relationship diagrams]], [[Business glossary|business glossaries]], or [[Knowledge graph|knowledge graphs]]. Conceptual data architecture plays a central role in [[Data governance|data governance]] and [[Master data management|master data management]] initiatives, providing the authoritative reference against which [[Data quality|data quality]], [[Data ownership|data ownership]], and [[Metadata management|metadata]] standards are aligned. It informs the design of downstream artifacts including [[Logical data model|logical data models]], [[Data catalog|data catalogs]], and [[Data integration|integration]] frameworks. In enterprise contexts, conceptual data architecture is closely coordinated with [[Business architecture|business architecture]] and [[Enterprise architecture|enterprise architecture]] to ensure that data structures reflect and support organizational strategy.