Companies collect data to track the demands and changing needs of their customers in order to better position their products and services. The Data Architect will manage the architecture and processing of the raw data collected by the company. He is coming out of a higher education course while acquiring a form of sensitivity to the issues concerning data analysis, as well as to assist in decision making. He has validated professional experiences that have given him knowledge in database modeling, especially relational and dimensional, in SQL language and data processing tools such as ETL. He can be specialized directly in Big Data or he can have knowledge in this field.

Its main role is to ensure the proper management of the architecture and processing of data generated worldwide and collected by the company. In order to fulfill his role, he sets up an organization to bring an optimization of his data. First, it will develop storage infrastructures that will make up the Data Management architecture. Then, he will design a plan to centralize, integrate, maintain and protect the data he will have collected. Then he ensures that the infrastructure's information system is always scalable according to customer needs. Finally, he ensures the correspondence between his work and the company's objectives by studying Frameworks, which are software infrastructures.

To be a good Data Architect, you must first of all master the software and tools used in particular to ensure the architecture of the data. He is an expert in his field and that is why he has a perfect mastery of computer tools and also computer languages. He is very comfortable with the latest technologies of Big Data including Spark, Hadoop, NoSQL. As he works closely with the Data Scientist who provides him with the data he will have to process, he must be at ease with relationships. An understanding of the English language is required in this job as it allows him to process data on the platform from all over the world. Good writing skills are among the qualities of a good Data Architect. He is able to work under pressure because his tasks can make him stressed and can tire him out. He therefore has good organizational and management skills, and the rigor to understand and evolve autonomously in this ecosystem. He has the ambition to evolve.

The data accumulated around the world is what we used to call raw data, and we need their form and structure data. The Data Architect is a specialist in the formatting of its data. He will allow the experts in the company he works with to exploit his data. Each expert has at least one role of his own in a company and they should never be confused due to their specialization. This is why a company that works closely with databases must complement its professional and dynamic team with a Data Architect.