Enterprise Databricks Lakehouse Architecture ingests data from AWS S3, Oracle, SQL Server, Salesforce, and third-party APIs via Azure Data Factory, AWS DMS, Informatica, and Databricks Auto Loader into a Bronze-Silver-Gold medallion structure on ADLS Gen2. Unity Catalog provides centralized governance, lineage, and access control across the lakehouse, while Delta Lake ensures ACID compliance and data quality. Consumption flows through Databricks SQL Warehouses, Azure Synapse Analytics, Power BI, and AWS Athena, with MLflow and Mosaic AI enabling model lifecycle management and serving. This architecture unifies legacy EDW systems, siloed AWS workloads, and modern cloud-native analytics into a single governed platform, reducing data silos and accelerating time-to-insight for enterprise teams. Fork this diagram on Diagrams.so to customize data sources, add governance policies, or adapt ingestion patterns for your multi-cloud strategy.