How Much Money Does a Cyber Security Analyst Make?
Cyber security analysts earn around $105,000 per year on average. [...]
At some point in the last decade, the data-breach became the modern day bank heist. Data is the currency of the digital world, and it’s worth its weight in gold.
The average consumer has personal information stored in the hands of dozens of third-party companies. This information can be stolen and then sold on the dark web to hungry scammers (Equifax, anyone?), but it can also be used for good: companies glean critical insights from the thoughtful analysis of consumer data, and use it to build products for which there is already a data-demonstrated demand.
Data architects: Design, build and oversee the massive structures that collect, store and safeguard our precious data. It’s a complex job that requires a lot of technical training, but it’s time well-spent, especially when you think about earnings within the field.
University and Program Name | Learn More |
Tufts University:
Master of Science in Data Science
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Boston College:
Master of Science in Applied Economics
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Boston College:
Master of Science in Applied Analytics
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Merrimack College:
Master of Science in Data Science
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Stevens Institute of Technology:
Master of Science in Data Science
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According to the most recent findings from the Bureau of Labor Statistics, the median salary for data architects is $109,020 per year—regardless of level of experience. Payscale offers a clearer pictures of how experience impacts earning potential, putting entry-level data architects at an average salary of $86,130, and mid-career data architects at an average of $103,296 per year.
Compensation is impacted by demand—which, for IT and technology jobs varies widely by where you live. For example:
Another way to anticipate earnings is by industry.
Education is important but not the most crucial factor in determining a data architect’s salary. Almost every entry level data architect will have a bachelor’s degree in computer science or a similar field. While many higher-seniority data architects hold graduate degrees, they’re not always a must—five to ten years of experience in specific functions of data architecture is equally as valuable.
There are a lot of similar-sounding jobs in the technology world, and it can be easy to get data architects confused with cloud engineers, data engineers, or cybercrime investigators.
In reality, there is overlap between these positions—both in terms of skills and work experience—and they often work on the same cross-functional teams within a company. Data architects are tasked with:
An entry-level data architect has a bachelor’s degree in computer science, computer engineering, information technology, or a related field. Those hoping to jump into the workforce straight out of college should strongly consider landing internships to gain hands-on problem-solving experience. While a quality education is important in tech, experience and demonstrable expertise go a long way in setting you apart from other applicants.
A master’s degree is a great option to consider when leveling-up as a data architect. Candidates with graduate-level educations are more likely to manage direct reports and lead cross-functional teams. Some of the top master’s degree in computer science programs include:
Other popular graduate degrees for this field include information systems, information and communications technology, or even an MBA with a concentration in one of the above fields.
For those who are in between undergraduate and graduate programs or simply looking for a skill boost, the Certified Data Management Professional (CDMP) certificate is a well-known credential for data architects. Applicants need a bachelor’s degree and two years of work experience to qualify.
Due to the demanding work and mission-critical responsibility that this profession holds, most data architects are hired once they’ve acquired demonstrable skills in database management. This is part of the reason why the average salary is so high; companies like to see at least a few years of hands-on work experience in related fields like programming and database administration before hiring a data architect.
While most data architects earn around $100,000, team leaders or “chief data architects” can easily make more than $200,000 per year. According to Glassdoor, senior data architects at Amazonmake about $150,000 a year, and principal data architects at Amazon make close to $200,000. The company prefers candidates to have a graduate-level education and at least 10 years of IT experience.
Higher education, surprisingly, holds some of the most significant opportunities for data architects. Universities track of huge amounts of information about students, faculty, and staff as they travel through the various departments of a school (think admissions, financial aid, course registration, transcript tracking—it’s a lot of data). A Glassdoor search for Data Architects in the Education and Schools industry reveals high-paying openings at Stanford University, the University of Southern California, Massachusetts Institute of Technology and the University of Washington.
Wayfair is hiring a data architect who can pair data science with business development to determine key business metrics. This role’s estimated salary is between $95,000 and $138,000.
Shell is hiring a data architect with an estimated salary between $110,000 and $158,000. Applicants should expect to build relationships and manage stakeholders as they work alongside Shell’s IT teams.
Procter & Gamble is hiring a senior data architect to shape future marketing technologies and harness data to develop deeper relationships with their customers. This role’s estimated salary is between $100,000 and $141,000.
Tech giants like Amazon and Facebook are always looking for top data architects to join their teams.
Do you have the data-driven mindset it takes to make it as a data architect? Do you love helping businesses find efficiencies through the intelligent capture and analysis of raw data? If so, you’re in luck—companies are paying closer attention to the insights gleaned from data. And using that information to their benefit is impossible without people like you.
(Last Updated on February 26, 2024)
Questions or feedback? Email editor@noodle.com
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Categorized as: Data Science, Information Technology & Engineering