Job File: Data architect
Data is now used by all activity sectors to guide their strategy, gain in performance and get an edge on the competition. The data architect prepares the company for a massive data exploitation project. He/she solves a data problem in a creative way, on a technical level through growth objectives.
Data defines all digital data. Today, it is essential to artificial intelligence, to managing a company and to developing its offers.
PRESENTATION AND MISSIONS
The data architect, also called big data architect, intervenes well before the (internal and external) data processing by organizing the project for the company.
According to the organization needs and its activity sector, he defines the system's construction: creation of storage infrastructures to accommodate the raw data, implementation of solutions to solve a specific data problem, the integration of the project into the company's IT framework.
This is to situate her on the data processing chain: she intervenes in the first place since she prepares the other specialists' work. To summarize, the data architect organizes the project, the data engineer manages the raw data, the data scientist valorizes it, and the data analyst interprets it.
The data architect's job is to build the environment for collecting, handling and interpreting massive data. Depending on the context, strategy and feasibility, he chooses the technological solutions and tools to be used, taking into account their impact on the overall IT system.
The data architect ensures the order and context of the project.
BUSINESS IMPLICATIONS
Data is exploding and all business sectors are interested in it because its exploitation offers competitive advantages. Pharmaceutical laboratories, banks, insurance and polling companies were the first to hire big data architects. The profession has its place wherever massive data is involved: e-commerce, public organizations, transport and logistics, recruitment and temporary employment agencies...
ETHICAL IMPLICATIONS
Data triggers many ethical and legal concerns. Data storage and use is now regulated. Data architects are obviously familiar with these issues. Artificial intelligence lawyers and ethics managers help them to explore them further and to work in keeping with the law and fundamental human values.
aivancity's programs integrate all the components of artificial intelligence and its challenges, whether technical, technological, commercial, ethical or legal. These are global and hybrid training programs that allow future engineers to benefit from a maximum level of knowledge and a wide range of know-how.
KEY COMPETENCIES
The unconditional foundations of the data architect profession are innovation, project management and creativity. Coupled with a strategic vision of the data project and a sense of precise analysis of the context, they will enable him to design relevant and effective solutions. The data architect understands the ins and outs of the business sector in which he operates. He knows how to build a stack of technologies to achieve a global system that is both efficient and ideal. He works by analyzing the "use cases", i.e. the way to use a system that presents a value or a utility for all the actors involved (technical experts and top management).
The data architect is familiar with IT systems management repositories (CobIT, ITIL, TOGAL), databases and big data platforms (such as Hadoop for example), data modeling tools (ERWin, Enterprise Architect and Visio) and of course project management. She is fluent in English and has great relational skills. Her pedagogical language is understandable by all her interlocutors.
Technology watch is essential to the activity of the big data architect, since it is a source of innovation.
His precision and accuracy are crucial, as the investments and financial stakes are important for the company. His sense of organization is flawless, to stick to deadlines and costs
His function is a subtle balance between conceptual and technical skills.
TRENDS AND EVOLUTION FACTORS
The data architect can evolve in the same position by leading larger projects with more responsibilities. They can also move towards the position of chief data officer.
Data is an incredible resource but also challenging to understand. As a data project cannot be reproduced from one company to another, the data architect plays a key role. As a creative problem manager, she guarantees other experts and her organization a healthy, relevant and efficient environment to handle and enhance massive data.