Enterprise Data Modeler - Hybrid Role

- Lead the design and development of conceptual data models that define business entities, relationships, concepts, and rules. - Construct logical and physical data models for intricate client hierarchies and accurately document the data designs. - Present modeling results and recommendations effectively to stakeholders and development teams. - Establish and uphold governance processes for data modeling and implementation tasks. - Define and maintain organization-wide standards for data models, naming conventions, and metadata. - Support Master Data Management (MDM) practices, including reconciliation, deduplication, and integration of source systems. - Perform data profiling and analysis to create, revise, and maintain data models. - Analyze challenges related to data system integration and recommend strategic solutions. - Conduct data capacity planning, lifecycle management, feasibility assessments, and optimization studies. - Develop canonical models and Data-as-a-Service (DaaS) models while leveraging SOA for integrations. - Assist in enterprise integration initiatives with modern data platforms, ensuring compliance with data privacy regulations and security policies. - Implement processes to monitor and enhance data quality, accuracy, completeness, and redundancy. - Formulate strategies for data security, backup, disaster recovery, business continuity, and archiving.