Enormous data generated by Satellite sensors, Storage and Processing of Remote Sensing Data is a challenging task due to its variety and volume. This paper studied on real-time Big Data Analytical architecture for remote sensing satellite application. To handle Remote Sensing Data proposed architecture comprises three main units, such as Data Pre-Processing Unit (DPREU), Data Analysis Unit (DAU) and Data Post-Processing Unit (DPOSTU). First, DPREU acquires the required data from satellite sensors by using filtration, balanced distributed storage and parallel processing using Hadoop environment. Second, DAU identifies the hidden patterns from data stored in distributed File System using Map functions followed by Reduce functions in Map-Reduce paradigm. Finally, DPOSTU is the upper layer unit of the proposed architecture, which is responsible for compiling storage of the results, and generation of decision based on the results received from DAU.