Lakehouse is a new type of storage and computing architecture after data warehouse and data lake, which combines the high performance of data warehouse with the flexibility of data lake, and is more suitable for the high demand of large data volume, multiple types, and real-time requirements in the field of rail transit. Introduced the basic concept of the Lakehouse, and elaborated on the different implementation routes of Lakehouse. Analyzed the current status of data resources in the field of rail transit and identified the existing problems. Designed a storage and computing architecture for Lakehouse in the field of rail transit, and introduced the key technologies used in this architecture. This provides theoretical and practical guidance for upgrading and optimizing traditional storage and processing architectures in the field of rail transit.