These types of companies also need the data architect to help them figure out how the data-both structured and unstructured-should be stored and how it should be integrated with different IT systems.Īt the University of Virginia’s School of Data Science, we offer the online Master of Science in Data Science (MSDS) program which gives students a solid foundational knowledge of data management while also teaching students practical skills such as machine learning and programming languages so that they can prepare for a career as a data architect. Companies looking to implement any sort of robust data strategy need a data architect who knows their way around large scale databases, data analysis and machine learning, using programming languages. One of the most in-demand jobs within data science is that of the data architect. Data is the backbone of modern management and strategy. High-performing companies, as revealed in a study by McKinsey, place critical importance on this wealth of data to drive decision-making at multiple levels of the organization. While smaller companies are just being turned on to the potential of data analytics, larger companies have several different sources of data and a large amount of data activity. Companies, both large and small, are clamoring for the best talent in the market to help them efficiently capture, process, and analyze massive data sets. Organize data for effective machine learning and artificial intelligence.The demand for data science professionals is at an all time high.Detect any root issues before major time and money is wasted.Create a proper foundation for which to base data initiatives.People that “translate requirements into systems.” ( CIO).People that “create blueprints for data management systems” and “design a plan to integrate, centralize, protect, and maintain a company’s data sources.” ( Master’s in Data Science).People that “determine what to do with data and how best to organize it so that it adds value instead of weighing down the processes.” ( Forbes).People “responsible for shaping the way an organization captures, organizes, integrates, analyzes, and stores data.” ( Newswire).People “responsible for the detailed design and development of a data resource.” ( Michael Brackett).GET STARTED WITH OUR DATA ARCHITECTURE TRAINING PROGRAM Other Definitions of Data Architects Include: With departments across the organization to establish and reinforce good DataĪrchitecture–related practices and policies.Ĭlearly and consistently about the Data Architecture across a business, so thatĪll workers know how to use it effectively. Software, to implement the Data Strategy, usually with the help of IT.ĭata Modeling and Data Analytics skills to understand and leverage They must be able to:Īnd translate the organization’s overall Data Strategy into a plan.Īnd oversee technical development and processes, including hardware and They are the “conduit between business and technology,” says Lynn White of Newswire. Data architects take an organization’s raw data and data assets and builds a solution leveraging this material. An architect is one who designs and advises on the construction of something. A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy into a Data Architecture and implementing this structure to align with an organization’s Data Governance.
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