In order to better understand their customer base and define a more precise target of people, companies use data that is generated worldwide. The Data Architect, as its name implies, will manage the data architecture and will process raw data from various external or internal sources. It must put in place a real organization in order to optimize the data that will be collected. It will therefore develop storage infrastructures that will make up the Data Management architecture. Then comes the design of a plan to centralize, integrate, maintain and protect the data he will have collected.
The Data Architect is primarily responsible for the infrastructure's information system, which must be scalable according to the customer's needs and projects. He will ensure the coherence of the entire database structure thanks to his overall vision. He also studies the frameworks (software infrastructures) so that they correspond perfectly to the company's objectives.
The Data Architect works in close collaboration with the Data Scientist who provides him with the data he will have to process. His skills are highly specialized. He must, among other things, have a perfect mastery of the tools and computer language and be comfortable with the main Big Data technologies (Spark, Hadoop, NoSQL). Then, among the skills required, understanding English is essential for processing data collected on platforms around the world.
The Data Architect must also have good writing skills. Also, from a psychological point of view, it is essential to have a good resistance to stress and fatigue. Organization, management and rigor are also essential values in this profession.
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