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Vision - The Data Architect needs to be able to have an end-to-end vision, and to see how a logical design will translate into one or more physical Databases, and how the Data will flow through the successive Stages involved. He (or She) will need to address issues of Data Migration (Validation, Clean - up and Mapping), and will Model the Data of the whole organization so that its in 3rd normal form. Independent of where the data is stored or the process that used it, this new view of the data reveals: 1. (a) redundancy in the organization (b) Where incompatibilities should be remedied (c) opportunities for sharing database and services internally and externally (d) unanticipated capabilities. 2. Change the organizations data systems to mirror the model. This aligns the organizations resources to the organizations mission more efficiently than any other method. The data architect must get into the conception and planning loop in all organization venues early and analyze planned computer systems and data flows for all departments to make sure that there is no redundancy, poor design, and field misnaming.
Analyze new IT projects with an eye towards maximum potential for enterprise-wide integration.
Data harmonization and project management - review data fields so that the same field does not have different names for the same record throughout the enterprise.
Train and collaborate with projects managers so that project management methods include enterprise architecture.
The data architect should promote regular business intelligence meetings with agency representatives, attend executive business goals and strategy meetings, and be an energizing force to align IT with the organizations mission.
Create a long-term, enterprise-wide plan to integrate all business system and workflows for the whole organization, including the prioritized detailed steps and budget for the plan.
Publish high level data relationship charts. Maintain centralized documentation of the integration process so that there is integration continuity. Build a database of the organizations database and document fields that could potentially be shared enterprise wide.
Actively look for collaborative enterprise-wide and government-wide opportunities and watch for potential conflicts with other such system.
Create a database of each business units capabilities wish list, updated yearly and whenever there are changes, so that there is the most complete picture of the agencys goals and needs. Make sure big integration projects obtain financial oversight agency approval.
To minimize risk during change by virtue of their deep understanding of organizational data.
Finally, a data architect should encourage all employees to take an interest in integration matters and send suggestions that will improve integration.
Eligibility:Bachelor's degree / higher diploma
Salary:US$2,000 - $3,000
Function:HR / Administration / IR
Deadline:08th May 2019
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