Data engineering builds and maintains data frameworks. The data engineer has a background in software engineering and works with big data in data lakes, cloud platforms, and data warehouses in the cloud.Those data professional roles are the data scientist, and data engineer. To understand the role of a data architect, it is useful to look at the two other main roles within data management and business analysis and see how they are differentiated from each other. 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. The demand for data science professionals is at an all time high.

Data engineer vs data architect salary