The Data Architect is a professional responsible for designing a company's data architecture. He or she defines the data collection and storage system, enabling Data Scientists to analyze the data. Find out how to train to become a Data Architect in this highly sought-after profession!
Data opens up a wealth of opportunities for companies. By analyzing it, Data Analysts and Data Scientists can extract valuable information for strategic decision-making.
However, a system for collecting, formatting and storing data is essential. The role of the Data Engineer is to build and manage this system.
The first step is to design the system according to the company’s needs and constraints. This is the role of the Data Architect.
What is a Data Architect?
The Data Architect’s role is to understand business needs and translate them into technological requirements. In particular, he determines database and data warehouse requirements.
This expert defines data standards and data-related principles, and is responsible for designing the Data Management framework. This data management framework defines the processes for creating, acquiring, maintaining, using, retrieving and cleansing data.
It also defines data flows within the company. This means that it indicates which parts of the organization can generate data, which parts need data to function, how flows are managed and how data changes during transition.
The data architect collaborates and coordinates with multiple departments, partners, external vendors and other stakeholders. In addition, this expert can define a reference architecture that can be reproduced for the creation and enhancement of data systems.
What's the difference with a Data Engineer?
The roles of Data Architect and Data Engineer are closely linked. These two experts work together to visualize and build the company’s data management framework.
The Data Architect is responsible for designing the “how-to” of the framework, and the Data Engineers build it. This framework can then be used by Data Engineers, Data Analysts and Data Scientists. It enables data to be collected, transformed, stored and retrieved as required.
Data Architect salary and job offers
The profession of data architect is highly sought-after in the enterprise. In all sectors, organizations crucially need an expert capable of understanding their technical needs to exploit Big Data.
That’s why these professionals are highly paid. According to PayScale, the median salary for a Data Architect is $124,548 per year in the USA. Annual salaries range from $81,000 to $162,000 per year.
In France, according to Glassdoor and Talent.com, the average annual salary for a Data Architect is 63,000 euros. It’s a role in high demand the world over.
In fact, there are an increasing number of job offers for Data Architects. On job search platforms, numerous positions are available in a wide variety of industries including consulting, financial services, healthcare, higher education, hospitality, logistics and retail.
And the trend is set to continue, as data is increasingly used in business. According to the US Bureau of Labor Statistics (BLS), database and data-related jobs will increase by 8% between 2020 and 2030.
However, designing a data architecture is an essential task. That’s why companies are looking for experts who have undergone certification and diploma training.
How do I take a Data Architect training course?
A Data Architect must master databases and related software, cloud computing, data modeling, and the creation of diagrams representing data entities and their relationships.
This profession requires expertise in mathematics and computer science, and the ability to analyze and communicate statistical information. It requires an understanding of the system development life cycle, project management and testing techniques.
However, many Data Architects have evolved from the role of Data Engineer, Data Scientist or Solutions Architect. They have learned from their experience in data management and data warehousing.
For Data Architect training, choose DataScientest. Our Data Engineer, Data Analyst, Data Scientist, Data Management and Data Product Manager training courses will enable you to enter this profession.
Our courses are designed by professionals to help you master databases, data engineering techniques, data modeling tools and data manipulation languages such as SQL and Python.
By following our courses, you can receive a certificate from Mines ParisTech PSL Executive Education, validate block 3 of the state-approved RNCP 36129 “Project Manager in Artificial Intelligence” certification, and prepare for AWS or Microsoft Azure cloud certification.
Our training courses adopt a hybrid blended learning approach, effectively combining asynchronous learning on a coached platform and collective Masterclasses.
All our courses can be completed remotely via BootCamp, Continuing Education or sandwich courses. For financing, our organization is eligible for the Compte Personnel de Formation (CPF) or the Bildungsgutschein in Germany. Don’t wait any longer and discover DataScientest!
