Enterprise Services Engineer (Exchange SME)

Overview

Provides the technical leadership and direction in implementing enterprise information/data management practices.

•  Responsible for leading and engaging in information/data management projects including the Enterprise Information Architecture, information models and flows, data dictionaries, data standards, and data quality standards and processes.
•  Responsible for developing and maintaining the logical Enterprise Information Architecture that enables seamless information interoperability of systems from transaction systems, document management systems and information delivery systems.

Responsibilities

• Proven experience in developing information architectures aligned information lifecycle management.
• Proven experience performing conceptual, logical and physical data modeling with data modeling tools and database design in complex, large-scale data environments.
• Proven experience in transactional data modeling, dimensional modeling and object-oriented modeling.
• Proven experience in developing scalable design of entities using advanced data structures (e.g., tall tables) is a plus.
• Experience in developing data models that support, inter alia, time dependency, historical tracings, taxonomies (simple and complex), and multilingual data.
• Knowledge of application modeling languages/techniques (e.g., UML, OML, entity relationship modeling, DFDs) including the ability to create and read the associated diagrams.
• Proven experience creating enterprise models incorporating master and reference data.
• Experience in creation of data dictionaries, defining metadata management approaches and governance processes.
• Experience in developing and implementing IT architecture plans, Enterprise Information Architecture standard and guidelines, software development methodologies and strategic plans.
• Experience in developing data sharing standards and architecting scalable service-oriented solutions.
• Solid understanding of transaction and information systems, data warehouses, data marts, ODS, MDM methodologies and life cycle as well as ETL and MDM technologies

Level 4- Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with PhD.