In an organization, a data architect plays the role of a visionary leader. The following are some of the responsibilities and roles of a data architect:
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Creating and implementing a data strategy for the entire organization that is aligned with business operations. Data model designs, database development standards, data warehouse, and data analytics system implementation and administration are all part of the approach.
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Identifying internal and external data sources and developing a data management strategy that is in line with the organization’s data strategy.
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For the enterprise data system to run well, you’ll need to coordinate and collaborate with cross-functional teams, stakeholders, and vendors.
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Managing end-to-end data architecture, from platform selection to technical architecture design, application development, and finally testing and implementation of the suggested solution.
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Using technologies such as Hadoop, plan and implement big data solutions. In reality, the roles and responsibilities of a big data architect include managing a Hadoop solution throughout its entire life cycle.
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Defining and managing the organization’s data flow and information dissemination.
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Providing data accessibility, accuracy, and security through integrating technical functionality.
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Conducting a continual audit of the data management system’s functioning, fine-tuning as needed, and quickly notifying stakeholders of any breaches or loopholes.