Data is big and getting bigger! Across verticals and from big to small companies, huge amounts of data are flowing in, and growing at exponential rates. It is no exaggeration to say that big data is transforming businesses and driving global economic growth.
Of course, the growing amounts of data imply the need for trained professionals to manage and analyze them, which is why we see high popularity of big data careers. According to the US Bureau of Labor Statistics (BLS), more than 546,200 new jobs will be created in data-related occupations by 2028, representing a growth of 12%.
This increase in demand for big data professionals is accompanied by a rise in their salaries. Most job roles in the field have annual salaries in the six-figure range, besting average market salaries for similar professionals in other fields due to the competition for suitably-skilled professionals.
A key concern is the fact that most jobs require candidates possessing both work experience and advanced degrees. At least three years of work experience is sought by 81% of all data science and analytics job openings, with the higher-paying ones seeking masters’ degrees. Candidates with the best big data certifications hold an advantage here, given that they are up to pace with the latest technologies and knowhow in the field, and inspire trust in employees about their seriousness for a career in the field.
Below are the top big data careers with the highest salaries:
Big Data Engineer
A big data engineer is similar to a data analyst. The responsibilities are wide ranging:
- He/she works on large volumes of data, looking to extract insights for organizations to use to make key strategic business decisions.
- Along with this, he/she has to retrieve, interpret, analyze, and create reports on the data a company has. This data is of different types and comes from a variety of sources.
- In addition, he/she is responsible for creating and maintaining the software and hardware architecture of the company, including the systems and processes required by users to work with the data.
Annual salaries range from USD 130,000-220,000, with an average annual salary increase of nearly 6%.
A data architect is a big data professional who creates procedures for each branch of knowledge of the endeavor information model. He/she is entrusted with the plan, structure, and upkeep of information, which is typically sorted out in a social database. The specific responsibilities include the following:
- Designing the structure of complex data frameworks
- Building and maintaining these databases
- Developing strategies for each subject area of the enterprise data model
- Communicating plans, status, and issues to the executives of their company
Annual salaries range from USD 119,750-193,500, with an average annual salary increase of just over 4%.
A database manager works work closely with database developers, along with providing guidance and training to the lower-level staff. The main task is to analyze and fix issues that happen in databases, for which he/she may work with different database types using software such as MySQL and Oracle. He/she typically manages more than one project, along with helping in the design and physical implementation of storage hardware and maintenance.
The specific responsibilities include the following:
- Identify problems that occur in databases
- Take corrective action to remedy those issues
- Assist with the design and physical implementation of storage hardware and maintenance
Annual salaries range from USD 111,250-186,500, with an average annual salary increase of more than 3.5%.
A data scientist designs and constructs new processes for modeling, data mining, and production. Along with conducting data studies and product experiments, he/she is also in charge of developing algorithms, custom analysis, predictive models, and prototypes.
To take on this role, a big data professional is typically required to have previous work experience in a similar position. He/she needs to be skilled in different techniques of data mining, including clustering, decision trees, and regression analysis.
Annual salaries range from USD 105,750-180,250, with an average annual salary increase of nearly 6.5%, estimated at the highest in the field.
The key task of a database developer is to analyze current database processes with the aim of modernizing, streamlining, or eliminating inefficient coding, for which he/she must work closely with other members of the development team. He/she creates ad-hoc scripts and cleanup scripts, along with delivering written reports that review current coding and making recommendations on changes required to enhance performance. Specific responsibilities include the following:
- Monitoring the performance of the database
- Developing new databases
- Troubleshooting issues as they arise
For this position, experience with SQL and development techniques is a common requirement. Prior experience is also needed in database development, data analysis, and unit testing. Annual salaries range from USD 101,250-172,750, with an average annual salary increase of just over 5%, among the highest in the field.