Abstract: To solve the problems of low data management efficiency, low application level, poor security, and data silos in traditional survey data management methods in urban rail transit construction, this paper developed an intelligent management platform for big data in geotechnical engineering survey of urban rail transit based on digital technologies such as big data and cloud computing, which was suitable for the characteristics of domestic urban rail transit survey. The paper focused on data as the core and application oriented, adopted a self-developed model from the bottom layer to overcome the limitations of secondary development of commercial systems, and based on key technologies such as WebGIS visualization, parallel spatial analysis algorithms, and data collaboration and exchange to implement efficient management of survey data, expand the application fields of data, and enhance the value of data sharing and utilization. This platform has been applied in multiple urban rail transit projects in a city in central China and has achieved significant results. Its achievements can provide comprehensive technical support for multiple stages of urban rail transit construction.