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Drive the application of cutting-edge technology and techniques to bring solutions to clients, working with them to help navigate the complex world of advanced analytics and provide a unique business perspective on how advanced analytics can transform and improve their organization. Deliver tech consulting services in data strategy, big data engineering, business intelligence, and digital. Extract large quantities of data from client's IT systems, develop efficient ETL and data management processes, and build architectures for rapid ingestion and dissemination of key data. Collaborate with information architecture teams to build logical/canonical and physical data models aligned with conceptual data models. Work with product teams to define data sources by partnering with information and enterprise architecture and to ensure data meets business requirements. Analyze existing data stores and interfaces to support current state and future data models. Facilitate data requirements elicitation and modeling sessions including use of interview, document analysis, and workshops. Assist with the development and enforcement of data modeling standards as well as participate in data definition and data management reviews. Establish and maintain processes to support and grow data modeling practices.

Consulting-Tech Con-AI and Data-Enterprise Data-Data Architect-Manager-Multiple Positions - 1693940
Iselin, NJPosted Today
Job Description
Drive the application of cutting-edge technology and techniques to bring solutions to clients, working with them to help navigate the complex world of advanced analytics and provide a unique business perspective on how advanced analytics can transform and improve their organization. Deliver tech consulting services in data strategy, big data engineering, business intelligence, and digital. Extract large quantities of data from client's IT systems, develop efficient ETL and data management processes, and build architectures for rapid ingestion and dissemination of key data. Collaborate with information architecture teams to build logical/canonical and physical data models aligned with conceptual data models. Work with product teams to define data sources by partnering with information and enterprise architecture and to ensure data meets business requirements. Analyze existing data stores and interfaces to support current state and future data models. Facilitate data requirements elicitation and modeling sessions including use of interview, document analysis, and workshops. Assist with the development and enforcement of data modeling standards as well as participate in data definition and data management reviews. Establish and maintain processes to support and grow data modeling practices.