The lack of skilled IT workers is hurting the deployment of emerging technology, according to a new survey from Gartner. In areas from cloud to cybersecurity, this crisis is expected to last for years to come.
IT publications often publish reports about the highest-paying job titles, but that information can be of limited use if you are already working in IT and not interested in switching to a new specialty. For example, going from being a database administrator to a cybersecurity specialist, is a pretty major shift. It probably will require a whole lot of training, and you might even need to take a temporary pay cut before you earn the higher salary that prompted the change.
But sometimes you don't need to switch jobs to boost your income. Learning just one or two new skills might boost your earning potential without requiring you to move to an entirely new area of expertise.
Foote Partners' IT Skills and Certification Pay Index tracks the pay premiums for certified and non-certified skills. In the report from the first quarter of 2018, the 522 non-certified tech skills Foote tracks were particularly valuable. Having just one of these skills increased an IT worker's pay by an average of 9.3%. By comparison, the 446 IT certifications Foote tracks boosted salaries by an average of 7.6%.
As companies embrace digital transformation, they are finding that they need employees who understand emerging technologies like blockchain, the Internet of Things (IoT), artificial intelligence, machine learning and advanced data analytics. These technologies are so new that few, if any, certifications are available.
In addition, digital transformation is driving employers to seek out staff members who can see the big picture and recommend large-scale changes to the way IT operates that could make the company more profitable. They are looking for IT professionals with architecture and business skills who can help guide the company through these difficult transitions.
We give below the top 10 highest-paying noncertified IT skills from the Foote Partners report. Based on the data, adding one of these skills to your resume could boost your take-home pay. The skills were ranked by Foote Partners.
Companies in every industry are endeavoring to become more data-driven. To that end, they need people with data architecture skills. These are people who can understand the complex relationships among databases, applications and systems, and design new ways to store and manage data. People with data architecture skills may actually have the title "data architect" or they may work as database administrators, database managers, application developers, data scientists, project managers or even business analysts.
According to the Robert Half Technology 2019 Salary Guide for Technology Professionals, salaries for data architects in the United States range from $111,500 in the 25th percentile to $187,750 in the 95th percentile. Those in the 50th percentile earn $133,500.
Cybersecurity continues to be a highly in-demand field as enterprises struggle to stay ahead of cybercriminals' ever-changing strategies and tactics. Today's organizations often have deployed a complex array of defensive measures, and as in the data management field, they need professionals who can understand the bigger picture and the way these disparate tools work together. According to the SANS Institute, "The objective of enterprise security architecture is to provide the conceptual design of the network security infrastructure, related security mechanisms, and related security policies and procedures. The enterprise security architecture links the components of the security infrastructure as one cohesive unit."
People with these security architecture and modelling skills may be called security architects, cybersecurity managers, security administrators, security analysts or similar titles. These cybersecurity professionals tend to be very well compensated. For example, Robert Half data places the median salary for U.S. data security analysts at $125,250.
Complex event processing (CEP) is a particular type of data processing that seeks to find correlations among data from multiple systems. It's a concept that has been around in technology circles since the 1990s, but it is finding particular relevance today in relation to big data analytics, IoT, cybersecurity and related areas. For example, in an industrial IoT deployment, a system may receive alerts that multiple pieces of equipment went offline near the same time. A CEP system would analyze the streaming data from multiple sensors and attempt to find the root cause of the problem. Similarly, CEP systems used for cybersecurity would be able to correlate multiple alerts received by different security tools so that analysts could identify the nature of an ongoing cyberattack. As enterprise IT environments become increasingly complex, the demand for CEP engines and systems is increasing.
This high-paying, non-certified IT skilled is also closely related to the complexity of today's IT systems. TIBCO's BusinessWorks is enterprise integration software that helps organizations connect their applications, and it is popular among organizations that use service oriented architecture (SOA). The company website boasts, "In a head-to-head comparison by an independent third party, TIBCO was found to be the most efficient of the five leading SOA and integration platforms tested." Knowledge of the software would be useful for application developers, software engineers, IT operations staff, infrastructure professionals and IT managers, among other.
TOGAF stands for "The Open Group Architecture Framework." Created by The Open Group, an industry association with more than 600 member organizations, TOGAF is a standard for enterprise architecture that aims to improve business efficiency. First released in 1995, the framework has gone through multiple revisions, the most recent being TOGAF 9.2. The framework is built on four pillars: business architecture, data architecture, applications architecture and technical architecture. It also incorporates an architecture development method (ADM) that offers an iterative process for planning enterprise architecture. Similar to several of the other capabilities on this list, this is a skill which requires big-picture thinking and knowledge of both business needs and the technology to support those needs.
Machine learning is the branch of artificial intelligence that focuses on getting systems to improve their performance on a task without being explicitly programmed. It has applications in several of the hottest areas of technology today. For example, many big data analytics systems use machine learning to spot patterns in data and improve their predictive capabilities. Cybersecurity tools use machine learning to boost their ability to detect, prevent and mitigate attacks. IoT management tools use machine learning to detect and respond appropriately to anomalies. And ecommerce sites use recommendation engines based on machine learning to make suggestions regarding future purchases. With so many different applications for this technology, it's no surprise that both the Robert Half report and the Foote Partners report call out machine learning as one of the most valuable skills that IT professionals can add to their resumes.
Closely related to machine learning is the realm of predictive analytics and prescriptive analytics. This type of software analyzes historical data, finds trends and patterns, and forecasts future events based on the results. This type of software is becoming increasingly common among enterprise users. Often viewed as an extension of predictive analytics, prescriptive analytics actually generate suggested actions based on predictive analytics results.
In IDC's June 2018 Worldwide Advanced and Predictive Analytics Software Forecast, Chandana Gopal, research manager, Analytics and Information Management, wrote "The APA software market, which in 2017 reached $3.1 billion worldwide, is expected to grow at a five-year CAGR of 9.4%. Sophisticated analytical techniques are being embedded into more and more applications. Forward-looking analytics is going to become much more mainstream, as enterprises are able to harness more and more data from a variety of sources." Knowledge of predictive analytics can be helpful for IT professionals involved in data management, cybersecurity, application development, IT operations and many other areas.
Apache ZooKeeper is an open source project described as a "server which enables highly reliable distributed coordination" and a "a centralized service for maintaining configuration information, naming, providing distributed synchronization and providing group services." Originally part of the Hadoop ecosystem, it makes it possible to scale applications across large distributed systems. Well-known users of the software include some of world's most popular Websites, such as Yahoo, Facebook, Reddit and eBay. Cloud computing vendors like Rackspace and NetApp use it to scale their services, and ZooKeeper has also been integrated into other projects like Apache Solr. It's a useful skill for professionals involved in data management, Web development, IT operations and application development.
Businesses have always faced risk — that isn't anything new. However, today's organizations are under increasing pressure to quantity and manage that risk, and that's where risk analytics and assessment comes in.
Risk analytics tools use technology like predictive analytics and machine learning to better understand the various types of risk an organization might face and provide direction to business leaders on steps to take to minimize that risk.
Like several of the skills on this best-paying list, risk analytics requires both technical and business knowledge. This capability can be helpful for analysts, data managers, IT managers, application developers and other IT professionals.
COBIT stands for "Control Objectives for Information and Related Technologies," and according to ISACA, the non-profit organization that oversees COBIT, it is "the leading framework for the governance and management of enterprise IT." First released in 1996, the tool was originally designed to provide a context for auditing corporate IT practices. The latest iteration of the framework, COBIT 5, offers guidance related to audit and assurance, risk management, information security, regulatory compliance and enterprise IT governance.
Job titles that might benefit from knowledge of COBIT include IT managers, CIOs, CTOs, security professionals, data management professionals and infrastructure management professionals.