Money is a powerful motivator when it comes to choosing a career field. It is important to find a career that matches your interests and skills, as well as supports the lifestyle you desire after years of education.
Career options were very limited just three or four decades ago. Only a few high-paying jobs were available in certain industries like IT or medicine. Even then, there were few high-paying jobs and those who didn’t learn at an early age would not have the chance to reach a high-paying job. Fortunately, digital transformation has opened up many new job opportunities that you can become certified for even if you are still working.
Are you looking to make a career change? Then consider one of the top it certifications in 2022.
Here’s a list of the highest-paying jobs in technology:
1. Data Scientist
Data is today’s most valuable asset. Data scientists are responsible for analysing all data and interpreting complex patterns. This helps businesses to make better decisions that take up less time and are cost-effective.Becoming a data scientist is not easy. Data scientists need to be knowledgeable in computer science, machine learning and mathematics. They also need to be able communicate effectively with data scientists. Data scientists are responsible for the following tasks:Understanding machine-learning algorithms
Creating data models
Programming languages such as Python and other analytical tools
Identifying and solving business problems
Demand for data scientists has increased by 29% with a 3444% increase in demand since 2013. Data science is a vast field that offers many streams and specialties. Data scientists can make as much as $150,000 an year. Enquire now Big Data Architect
Every day, huge amounts of data are generated. Every day, more than 2.5 quintillion bits of data are generated by interest users. This data is useless in its raw form. More than 97% of organizations are investing in Big Data or AI to analyse these data and derive insights. These are the reasons organisations need Big Data architects. A Big Data architect plans, designs, and manages large-scale Big Data applications from beginning to end. The role of an architect is closely related to that of a data scientist. However, the definition of Big Data architect will vary from one organization to the next. Understanding Hadoop, Spark, NoSQL, and other data warehousing technologies are key skills required for this role.
Programming skills
Data visualisation skills
Communication skills
Big Data architects must have a working knowledge in data management, programming, Big Data development, system analysis, and technology architecture. An average salary for a Big Data administrator is $140,000 per year. I