![]() data architect debate, while the latter design the blueprint of the data framework, the former puts this blueprint into action to build a data framework.Ī Data Architect takes into account all data sources concerning business operations and outlines a design to integrate, centralize, and maintain the data. But the role of a Data Architect is very unlike those of a Data Engineer. The titles Data Architect and Data Engineer are commonly mistaken and, worse, used interchangeably. The data architect also defines the processes involved in testing and maintaining the database. The Robert Half Technology 2020 Salary Guide pegged the average data architect salary at $141,250.ĭid we get you interested in the role of a Data Architect? Let's discuss further with a detailed Data Architect job description, essential skills required to succeed in the role, and how to become a Data Architect.Īccording to DAMA International's Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,"Ī data architect understands the business needs, explores the existing data structure, and creates a blueprint for building an integrated framework of easily accessible, secure data aligned with business strategy. The same survey forecasted that demand for data architects would intensify at the rate of 15.94% over the next few years. It's the vision of this data management professional that converts business requirements into technical requirements.Īs the critical link between business and technology, the demand for qualified data architects has been on the rise.Ī survey revealed that only 3.9% of data management professionals chose to be self-employed, while a whopping 96.1% of them were snapped up by organizations that wished to leverage data for tactical business advantage. Who is a Data Architect?ĭata architects are IT professionals who are tasked with defining policies, procedures, models, and technologies that will be used to collect, organize, store, and retrieve information for the organization.Ī data architect is an expert who formulates the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of data. This brings us to the big question: Who builds this important Data Architecture? Data architecture is conceptualized and designed in alignment with business needs by a Data Architect. ![]() In a 2017 trends report, data architecture is labeled as both a business and technical decision, given the emergence of new business models and innovations that are increasingly being driven by data and innovation. The data architecture principles on which the entire framework is based considers data as an asset defined on pre-set parameters and is accessible, shareable, manageable, and can be secured.Įnterprises deploy data architecture to primarily convert business needs into data and system requirements, align business processes with IT systems, and manage the complex flow of data and information within the organization. Foote of Dataversity defines Data architecture as "A set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed and stored within a database system." The framework is created to secure sensitive data yet making the most relevant pieces accessible by authorized people at the right time. Simply put, Data Architecture is the organizational framework aligned with business processes that standardize the process of data collection, storage, transformation, distribution, and usage. Before we elaborate on what does a data architect do, let us understand what is Data Architecture. Data Architect or Big Data Architect is one such role that is highly pertinent in today's data-driven world. ![]() 71% of these businesses are of the view that organizational spending on data and analytics is going to speed up in the next few years.Īmidst the buzz around Data and the advanced level chatter about Big Data, several new organizational roles have emerged that are helping companies source, process, and assimilate complex data daily, from within the enterprise and beyond. There isn't a single organization today that doesn't attempt to harness the power of data to find solutions to problems, make informed decisions, deploy strategy efficiently, and run smooth business operations cost-effectively.Īccording to a Forbes article, 52% of global enterprises are actively analyzing data to derive operational insights for making better decisions. DATA- the four-letter word is a tremendous force that drives modern-day businesses.
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