Data Science can earn you a good salary. A very good salary. Discover the top 5 highest paid big data jobs, and how to launch your career in this flourishing field.
In all industries, all over the world, companies are increasingly leveraging Big Data. By collecting and analyzing large volumes of data, organizations are able to understand their customers, make better decisions, and outperform the competition.
However, to take advantage of these innovations, it is necessary to call on highly qualified experts. Technical skills are essential to aggregate, transform and process data to reveal its full potential.
Unfortunately, the number of specialists is much lower than the demand of companies. And over the next few years, this trend is likely to increase. According to the U.S. Bureau of Labor Statistics, the number of jobs related to Big Data will increase by 12% by 2028. This represents 546,200 new positions.
Faced with the shortage of experts, companies no longer hesitate to offer high salaries to attract the best talent. In this context, it can make a lot of sense to take a data analysis course to become one of these coveted specialists.
Acquiring data science skills helps ensure a long-term, exciting and highly paid job. Young graduates find work very quickly, in companies that appeal to them and in the sector of their choice.
You just have to choose the job that suits you among the many roles of Data Science. So what are the best paid jobs in the world of Big Data? Discover the answer through this paper.
The Big Data Engineer
The best-known role of Data Science is undoubtedly that of Data Scientist, responsible for analyzing data to extract valuable information that can be used by the company. Certainly, this expert brings immense value to his organization.
However, to deliver this benefit, the Data Scientist needs constant access to high quality data. In many companies, data is stored in silos between different departments, in a wide variety of formats and sometimes even without any structure.
It is at this precise moment that the Data Engineer comes into play. Its role is to build pipelines through which data is collected, transformed and delivered to Data Scientists. Even if he works in the shadows, this engineer is therefore just as essential to Data Science projects.
Moreover, the salary of the Data Engineer is currently the highest in the field of Data Science. In the United States, such an expert earns an average of $ 111,903 per year according to Glassdoor. The most experienced profiles can earn up to $ 222,000 per year.
The Data Architect
Another key role of data science is that of Data Architect. To reap the benefits of Big Data, a strong and consistent data architecture is essential.
Thus, the role of the Data Architect is to design, create, deploy and manage the entire data architecture of the company. It defines how data is stored, integrated, processed and managed by Data Science teams and the rest of the organization. He ensures that the standards are respected, and that the architecture or the goals of the company are scrupulously respected.
The data architect develops and maintains databases, but also develops strategies and communicates them to executives. The average Data Architect salary in the United States is $ 116,201 per year, and can reach $ 193,500 for the more experienced.
The Database Manager
Storing data in databases is one thing, but it is important to keep these platforms functioning and secure. This is the role of the Database Manager. This expert identifies problems that may arise, and takes preventive or corrective measures.
He also oversees the design and implementation of storage hardware. As technology evolves and advancements are made, this specialist needs to update the organization’s databases. It must therefore carry out a permanent technological watch, test new software and install it.
Of course, the Database Manager is also responsible for protecting data against cyber attacks and accidental leaks. It also ensures the security of the systems against natural disasters. On average, in the United States, a Database Manager can earn between $ 111,250 and $ 186,500 per year.
The Business Intelligence Analyst
Image: Austin Distel on Unsplash
Business Intelligence existed before Data Science, but has experienced a new boom since the emergence of Big Data. A BI analyst’s role is to transform data into information that can be used by company executives.
He is often responsible for responding to managers’ requests for specific information. However, he can also explore the data to discover patterns and trends.
He is a technical expert mastering analytical tools and reporting solutions, and knowing perfectly well how to handle databases and processing engines. The annual salary of a Business Intelligence Analyst can reach $ 185,500 per year.
The Data Scientist
Obviously, the Data Scientist remains the main role of Data Science. This expert is responsible for aggregating large sets of data from different sources and analyzing them. He models the data and interprets the results of the analyzes, then shares them with company executives in the form of visualizations or reports.
This job requires cross-expertise in computer science, mathematics and statistics. The professional develops predictive models and algorithms to discover all the secrets hidden in the data. His salary can exceed the $ 180,000 mark per year in the United States.
You now know the highest paid jobs in the field of Data Science. In order to acquire the required skills and gain access to these coveted positions very quickly, you can turn to an accelerated course in data science. This will allow you to train quickly and take advantage of the high demand for specialists…
Image Credit: Carlos Muza on Unsplash
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