Les missions
The Data Architect is responsible for designing and maintaining the enterprise data architecture, ensuring that it is optimally structured and organized to meet operational and strategic needs. It creates solutions for integrating, storing, and processing data while ensuring their accessibility, security, and quality.
One of its first missions is to analyze the company's data needs, in consultation with technical teams and business managers. It defines best practices and standards to follow for data management, taking into account legal constraints and compliance requirements (GDPR, for example). The Data Architect is also responsible for implementing data warehousing solutions (Data Lakes, Data Warehouses) and integrating data from various internal and external sources.
He must also choose the tools and technologies most suited to the needs of the company and ensure their good integration with other IT systems. This includes setting up Business Intelligence (BI) platforms, managing data collection and analysis tools, and automating data processing processes.
The Data Architect ensures data security and access management based on user rights. It establishes data governance strategies, ensuring that data meets quality, security, and compliance standards, and defining processes for managing data throughout the data lifecycle.
The architect must also participate in optimizing the performance of data systems, ensuring that they meet the needs of users in terms of speed and processing capacity. He often collaborates with data scientists and data analysts to ensure that analytics models and machine learning tools are well-fed with reliable and appropriate data.
Finally, the Data Architect plays an advisory role to other departments to support them in decision-making based on data. It ensures that business teams can access data in a clear and understandable way, and that they can use it effectively in their decision-making processes.
In summary, the Data Architect is a key role in data management within the company, ensuring that data infrastructures are designed, optimized and secure to allow maximum exploitation of data in the service of the organization's strategic and operational goals.
