As with all usages of data, the architect must always focus on governance and security. The data architect possesses expertise in data but must also express solutions and actions in terms of marketing, business analytics, statistics, and math. Data architects must know data and all aspects of viewing, assessing, and analyzing it. These hires are often for senior-level positions in small, medium, and large corporations.Ī typical day in the business life of a data architect solving complex problems in unique and creative ways. Large and complex organizations may tend to hire master’s degree holders with five or more years of relevant experience. Many employers insist on master’s level formal education and five or more years of related experience. Courses Neededĭata architecture relies on knowledge and experience. Employers look for experience in managing application architecture, network development and management, and performance issues. The field of data architecture is large, complex, and continually changing as the use of these skilled professionals changes the ways companies and organization mobilize their data resources for maximum benefit. They must master one or more development environments and the all-important backup and preservation phases. Technical skills include server software, database management software, and UI and query software. Data architects must combine such skills with a depth of knowledge about the businesses or fields in which they work. Step Two – Professional Growthĭata architecture includes a range of skills and knowledge, including data mining and analytical problem-solving. Many computer science students reach for a master’s degree for competitive advantages and to specialize in one or more areas of technical, business, or another type of study. The bachelor’s degree is the entry-level educational achievement for the field of data architecture. Most data architects begin with a bachelor’s degree from an accredited program in a major like computer science, computer engineering, or another closely related computer-based field. How to Become a Data Architect Step One- Formal Education The field of data architecture is relatively new, and there is a high level of demand for these skills and knowledge. Late career salaries average about ten percent above the national average. Top rated skills included data modeling, Big Data Analytics, data management, and data mining.Įxperience plays a key role in advancement and salary. Apache Hadoop, Oracle DB, and Microsoft SQL were program working environments that raised salary. The skills that affect salary and demand include software and programming knowledge. Data Architect SalaryĪccording to PayScale, the median salary for a data architect is $115,000 per year. The data architect can put the appropriate 4eources and mechanisms in place to support the desired business or organizational outcomes. They can be important members of product and process development. Today many types of businesses seek data science capacity in many forms, and demand includes data architects. Solutions to data storage, analysis, and usages can create further demands and opportunities. The drivers of growth in the field of data architecture are the growing types and sources of data. Given the close relationship of these fields, data architecture may have a similar outlook and will experience strong growth far above the overall averages for all occupations. They label a similar group as Computer Network Architects () the field of Computer and Information Research Scientists has some related aspects to the field of data architecture (). The Bureau of Labor Statistics does not have a specific category of data architects. The role of data architects is usually essential to the organization, and data architects are often among the organization’s senior-level employees. Data architects typically use ETL tools, SQL, and other advanced database management and administration. Some companies need data modeling other organizations may require data warehousing. The role of the data architect can vary with the organization that employs them. The goal is to have data available for every need, and the data architect must meet this challenge. The architecture informs which data to collect, how the data may be stored, and the arrangement of integration of the data. Data architecture consists of models, policies, and rules the control data.
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