In recent years, we have been witnessing an explosive evolution of the spatial data coming from Telecom subscriber's activities, such as calls, sms and the internet browsing. This type of data comes in various formats and with a high velocity, which makes their usage a real challenge. In practice, operators face a lack of specialized solutions in geospatial analytics on massive data. In this paper, we present an integrated Big Data architecture for the management of massive spatial data in telecoms and our extensions made on the SparkSql framework to support spatial types and queries.