Big Data Architect: The Most Valued in IT

A Big Data architect is a recent role that has come to stay. Derived from the evolution of the Internet, it is presented in any business forum. It is included as a training discipline in any academic program related to new technologies. It’s also one of the essential requirements for the incorporation of new professionals in the sector.

In Big Data Management, the “Data Engineer” and the “Data Scientist” co-work. Are they the same? Do they do the same? Do they have equivalent backgrounds? Learn more on our blog: Big Data Management, What Roles do I Need?

The “massive data” or “large-scale data” is the new basis on which any computer system of the moment is based. Its objective is to convert data into information that facilitates decision making. This process is generating great business opportunities in the current era. As highlighted in several studies, the Big Data Architect profile is one of the most future within the IT sector.

What does a Big Data Architect do?

The Big Data architecture consists of treating and analyzing large volumes of data that can not be managed conventionally. This is done by overcoming the capabilities of other software tools conventionally used for storage, management and data processing. The data architect works closely with the client and other professionals as the “solutions architect.” This professional can translate the client’s business requirements into a Big Data solution.

This role demands in-depth knowledge of new technologies. It is also required to understand the relationship between them: how can they be integrated and combined to solve problems related to data. The Big Data Architect can design large-scale data processing systems. He or she can develop systems and models to handle large and different varieties of data.

How to become a Big Data Architect

The Big Data architect needs skills that combine numerical and social skills. Due to its technological condition, a Big Data expert should know about programming and statistics. He or she also needs mathematical knowledge in analysis and computer techniques. The professional must have excellent communication skills, mainly to transmit to the rest of the organization:

  • The identification of business problems.
  • The definition of the best data model.
  • To present and explain the result of the analysis of data and its level of reliability.

What future awaits the profession?

The collection, storage, analysis, sharing and visualization of data is not an easy task. This is why the professions related to Big Data are in high demand. Companies of any sector or size are looking for specialists in this field day by day.

Undoubtedly, the future for these professionals is one of the most fortunate. The volume of data handled around the world will only grow, demanding this profession in massive amounts.

Further reading on Big Data management and roles needed in the telecommunication industry on our blog: Big Data Management, What Roles do I Need?

You may also like

Big Data Management, What Roles do I Need?

Jupyter Notebooks

Jupyter Notebooks, Gain Insights From Your Data

Data Scientist

Data Scientist, a new Role in Information Analysis