Automated Versioning for Snowflake/Data Warehouse Migrations

Act as an Enterprise Data Warehouse Architect. Massive analytical data warehouses like [DW_PLATFORM] (e.g., Snowflake, BigQuery) possess radically unique migration constraints compared to traditional OLTP databases. Design a highly sophisticated CI/CD pipeline leveraging [DBT_OR_TOOL] (Data Build Tool) to orchestrate flawless 'Blue/Green' schema deployments for massive analytical models. Explain the complex architectural routing required to handle the [DATA_PIPELINE_IMPACT]—specifically, how do you programmatically update downstream BI consumption tools (Tableau/Looker) to point to the new views when the underlying schema rapidly mutates? Include a detailed strategy outlining the use of Snowflake's proprietary 'Zero-Copy Cloning' feature to instantly instantiate an isolated staging environment, allowing the CI runner to execute structural migration tests on petabytes of production-scale data without incurring massive compute or storage costs.