The profession of an IT specialist who implements data analysis capabilities at an enterprise by developing algorithms for identifying data trends and methods for interpreting them for operational use is called a "data engineer". One of his main functions is to provide company employees with access to primary information and its interpretation. Such an engineer is responsible for creating a data management infrastructure, which is designed by an architect. The list of his job functions also includes:
creation of structures for representing large arrays of data that can be used to implement enterprise tasks;
development of clear algorithms for information analysis;
integration of data and production processes into a single information system;
support and scaling of data infrastructure within the context of tasks related to processing increasing volumes of information within the enterprise;
delegation of routine processes iceland email list of data analysis and management to automated systems.
Architects and data engineers usually interact within the IT team, but solve different problems. For example, if the former specialists form the concept of the information structure and related processes, the latter create physical systems based on it. The practical experience of architects and data engineers also differs. The main work of architects is related to modeling and interpreting information. In turn, data engineers develop software.
The data management skills of the specialists we are considering also differ. For data architects, they are mainly related to the design of information systems (including modeling). Engineers, on the other hand, need skills in the field of organizing and interpreting data. In some cases, the functions of these specialists overlap. For example, an architect needs the skills of an engineer in the field of data security. He must understand the standards for ensuring it. But a data engineer needs more skills in implementing information security procedures.
He must know the intricacies of information processing to clean and optimize its presentation methods. Such knowledge will also be useful for a data architect. At the same time, he does not need data processing skills within the framework of his tasks. It is important for an engineer to have experience working with cloud computing. This will allow solving problems related to the DB when using cloud technologies.
The roles of an engineer and a data architect have a number of differences, but they also have much in common. Such specialists can interact in the process of creating an enterprise information system.
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