Big data frequently contains huge amounts of personal identifiable information and therefore the protection of user’s privacy becomes a challenge. Lots of researches had been administered on securing big data, but still limited in efficient privacy management and data sensitivity. This study designed a big data framework named Big Data-ARpM that is secured and enforces privacy and access restriction level. The internal components of Big Data-ARpM consists of six modules. Data Pre-processor which contains a data cleaning component that checks each entity of the data for conformity. Data Classifier deals with the classification of data due to the sensitivity of such data. Data Preservation consists of two sub modules with the goal of preserving data before release to any user or any third party application to prevent privacy violation of the data owner. Access Restriction module coordinates the user or third party application registration, access to data and information in the entire system.