Current paper presents a layered big data and a real-time decision-making framework for bridge data management as well as health monitoring. There are emergency conditions that prevent timely fixing of bridge's damage. At these situations, road users are the right decision makers who should directly be informed about the bridge condition. Using this framework, sensors embedded on bridges could be designed to send warning messages to Variable Message Signs and cell phones within a defined region. To address difficulties of real time communication with road users and/or experts in central management office, the emerging technology of big data and cloud computing could be utilized.