Data Architecture

Data Architecture is a technical field focused on the design, construction, operation, and maintenance of enterprise analytic data stores. Data Architects work closely with data engineers, database administrators, ETL developers, BI and data science teams, product managers, and software engineers. Data Architects may lead a data architecture group, lead teams focused on data management, or focus on a particular data architecture practice or analytic data store technology.

Career Path

Individuals with a technical background who aspire to Data Architecture may prepare for this role through a combination of self-study and professional experience. Those with minimal data architecture experience may begin by studying foundational concepts and principles through self-directed learning resources including books, online courses, and articles.

Individuals who want to pivot their career into Data Architecture may consider programs such as part-time or full-time Master’s of Data Science, Master’s of Business Analytics, or Master’s of Computer Science that cover a broad range of data-related foundational concepts, tools, and technology, including data architecture.

Skills

Data Architects require strong technical skills in data warehousing, data modeling, and data analytics. Skills in cloud-based, big data, and machine learning technologies, as well as mastery of SQL and Python programming and strong leadership, communication, design, and analytical skills are advantageous.