Q: What is the role of an enterprise data architect?

Chuck Kelley's Answer:

To define strategy, principles, vision and standards for data within the enterprise. Provide for the data framework, governance and roadmap to attain the vision. Works with strategic vs. tactical requirements of the organization to fulfill the business needs. Partner with management to propagate the vision across the enterprise.

Anne Marie Smith's Answer:

To manage corporate knowledge and that to do so effectively, companies need data architects. What is a data architect? In short, a data architect is the person responsible for the definition, structure, integration and maintenance of data in the enterprise.

Data must be carefully managed for accuracy, currency and usage.

The data architect must be able to understand how the data relates to the current operations and the effects that any future process changes will have on the use of data in the organization and must be alert to the need to maximize the data resources by reducing redundancy, enabling accessibility within security boundaries, fostering corporate understanding of the meaning of the data (meta data management).

Also, the data architect serves as the liaison between users and the database management team and any software development/integration teams. An enterprise data architect must be able to understand and communicate the data requirements of any future infrastructure needs, working with the IT architects to develop an approach that fits the current and planned needs of the organization ("enterprise"). Many enterprise data architects serve on data governance boards and act as the main liaison between governance/user and technology interests within the organization, and they facilitate and document the agreements on appropriate corporate data and its usage (master data management).

Majid Abia's Answer:

This is a pretty good question. In a true sense of form, an enterprise data architect (EDA) focuses on developing standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching and delivering ALL data within the enterprise. This includes methodologies, tools, governance and conventions. In the case of search and delivery of data, the EDA works with an enterprise architect (EA) to adhere to the latest development standards of the enterprise. Consider this: EA and EDA are city planners for the enterprise's IT landscape.

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