Data Architect

• The architectural frameworks for data and metadata management will include standards for: logical and physical data design, data modeling, integration and synchronization of data across systems, data management tools, optimization of data storage and retrieval, goals (business and technical), data availability, usability, security, and data and metadata catalogs. • Defines and manages The Enterprise Data Management (EDM) architectural framework’s evolution focused on supporting business goals for data availability, usability, and security; in addition to efficient use of resources. • Ensures adherence to Standards, data management tools, and methods by project teams for custom developed and packaged solutions application systems. • Manages and monitors of The Enterprise Data Management Architecture Frameworks use by project teams for new systems and system support teams for system enhancements to ensure compliance with standards for: data availability, data retention, archiving, scalability, Security Auditability, use of data management tools and methods, metadata management, data integration and synchronization, use of the Integration/Middleware architectural framework, use of the Application and packaged solutions architectural frameworks, and use of storage devices. • Defines integration of packaged solutions data model into Enterprise Data Architecture.

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