The paper presents the design of a Data Lake for the Directorate of University Analysis. The Data Lake consists of a storage system for the management and analysis of data according to the objectives of the Institution. The architecture uses 3 zones to store data: the first zone, stores the raw data; the second, stores the processed data, which comes from the first zone; and the third is the gold zone, which has data that can be analyzed and used by data scientists and decision makers. The paper describes the elements of the architecture and design of the metadata through ontologies.