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A data warehouse architect is responsible for designing data warehouse solutions and working with conventional data warehouse technologies to come up with plans that best support a business or organization. As with other similar kinds of roles, a data warehouse architect often takes client needs or employer goals and works to develop a specific architecture that will be maintained to serve the specific stated purposes.
Many data warehouse architects will be familiar with common technologies for data warehousing and extract, transform and load (ETL) methodologies. A data warehouse architect may have experience using Oracle or similar resources, as well as other technologies like J2EE or Cognos, and programming languages such as Java. However, some point out that the majority of a data warehouse architect’s work may have to do with a broader design goal and effective communication rather than hands-on knowledge of specific tools. For example, data warehouse architects may largely focus on defining and implementing solutions, and training other staff.
Basically, the data warehouse architect will maintain systems for keeping raw data, metadata and other data assets secure and accessible within a greater IT infrastructure. These architectures will support activities like data mining that can add value. The data warehouse architect may spend a lot of time considering ROI and financial metrics for projects in order to determine best practices and deliver solutions that drive profit, as well as those that keep data versatile.