Big Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. The reference architecture is general enough to be implemented with different technologies, computing paradigms and analytical software, depending on the requirements and purposes of each organization. In the developed project, the architecture was implemented with data from emergency care in hospitals in the Medellín city. One of the results of the research work is that the proposed architecture considers different types of user and data sources, does not generate dependency due to the type of technological tools used and establishes a layer for data governance.