KEY RESPONSIBILITIES Assists IDQ leads & Architects in the development of the enterprise MDM data model Develops efficient and tuned data pipelines as per the project data models Evaluates and recommends new and emerging MDM/DQ technologies, methodologies and standards Ensures consistency and compatibility with all other system technology components Assists in developing the MDM data model and architecture Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the MDM architecture Implements enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model.
Implements master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse, data quality.
Implements logical master data models using the data modeling tool for all layers in the MDM technical architecture framework or a DQ Dashboards.
Mitigates performance implications of various data modeling and architecture decisions at the logical and physical layer as related to ETL, ad hoc query access, and static reporting.
Reviews and validates master data models with stakeholders and subject matter experts.