The modern digital landscape increasingly fosters the development of applications and services across sectors such as industry, healthcare, and governance, especially with the rise of technologies like the Internet of Things (IoT), Cloud Computing, and Communication Technologies, which have heightened user demand. This technological growth requires a robust infrastructure supported by relevant tools and platforms. However, the massive volume of data generated from various sources including wireless sensors, recording equipment, and communication transmissions constitutes Big Data that surpasses the processing capabilities of traditional technologies. To harness the benefits of such data, advanced solutions must be integrated. In the context of Intelligent Transportation Systems (ITS), a substantial amount of data is produced, necessitating high-performance wireless communication technologies (e.g., GPS, Wi-Fi, VLC, VANET). In such vehicular environments, reliable Internet access forms a critical backbone of ITS. The primary objective of this paper is to propose a scalable architecture for managing Big Data within ITS environments, focusing on performance, integration, and real-time decision-making.