How to Become a Data Architect

Data architecture is an integral aspect of any business that collects raw data for later use. This architecture contains the structure and organization of a business’s data assets, technologies, processes, and systems. When built successfully, data architecture ensures that data stays accessible, accurate, and secure. Data architects are the professionals who design these architectural systems and manage them for functionality. They play a foundational role in bridging the gap between a business’s technologies and its organizational needs. Learn more about how to become a data architect, including what types of responsibilities data architects have, what skills you need, and what the average data architect salary is.

Or, if you're ready to launch your career in data architecture with an industry leader, earn the IBM Data Architect Professional Certificate. In as little as four months, you'll learn to implement data security measures and governance, design databases for specific needs, and learn to use industry-standard tools like Kafka, Spark, and Airflow.

How to become a data architect

To become a data architect, you’ll typically earn a bachelor’s degree in a field such as computer science, computer engineering, and information technology. Data architect roles require you to have a strong technological and coding background, as well as deep knowledge of Python, Java, or SQL. Because of this, some employers prefer you to have a master’s degree, as well. Some options include those in the aforementioned subjects, or you can earn an advanced degree in data architecture, specifically.

A role as a data architect is an advanced-level one, meaning you’ll generally need to develop your skills in other roles before progressing to this job title. You might first work as a data scientist, data engineer, or network administrator. You should expect to spend multiple years developing your skills before qualifying for this role. Professional certifications and a portfolio of your work are great ways to help demonstrate your expertise as you seek a data architect role.

What does a data architect do?

Data architects work with clients to assess their data storage, analysis, and processing needs and then design a system to meet them. They work across a wide range of industries, including higher education, health care, consulting, financial services, and technology. Data architects are sometimes expected to work outside of typical hours if an emergency arises concerning the data framework, such as a security breach.

Data architects design and assess database frameworks using code to meet an organization’s needs and goals. They ensure the data is accessible, secure, and accurate.

Common responsibilities

• Design and optimize data management frameworks

• Collaborate with data engineers and data scientists to support data needs

• Develop and maintain data storage solutions

• Ensure data security and compliance standards are maintained

Data architect vs. data engineer

Data architects and data engineers may share certain duties, but a key difference exists between these two roles. A data architect is responsible for designing the data management systems that a company needs, while a data engineer is the one who builds and tests the system.

Salary and job outlook

Data architects are highly in demand. According to the US Bureau of Labor Statistics, data architect roles will grow 9 percent from 2023 to 2033, much faster than other fields. About 9,500 open data architect roles are projected, on average, each year through 2033 [1].

Data architects in the US make an average salary of $134,700 per year [2].

Data architect roles come with both benefits and drawbacks. It’s typically a dynamic role that provides much variety during your workday and constantly encourages you to problem-solve creatively. These roles are in high demand, so you’ll likely have the opportunity to find a position that fits your interests and goals while providing a competitive salary and the ability to work remotely or in a hybrid setting.

Some considerations include the fact that this role is high-pressure, requiring you to work under tight deadlines and hours outside of a typical work day, depending on the issue. You’ll also need to communicate with various stakeholders who may be challenging. Plus, the expectations for this role are high, which might increase stress.

Required skills for data architects

Data architects must have strong technical skills like SQL languages to successfully design and build databases. Due to the evolving nature of this field, it’s imperative that you have a robust skill set that is constantly developing, usually through continuous learning and a commitment to staying abreast of the latest in technology and techniques.

Technical skills

• Database programming skills

• Data modeling

• Data warehousing

• Data management systems

• Mathematical skills

• Analytical abilities

• Strategic planning

Workplace skills

• Communication

• Stakeholder management

• Analytical thinking

• Time management

• Leadership

• Team collaboration

One way to develop these skills and make yourself more competitive is to earn certifications. Not only do certifications help you to increase your expertise, but they also show potential employers that you have a strong work ethic and prove your dedication to the field. Consider earning a certificate that aligns with your specific goals, such as a particular programming language or within an industry you’re interested in. Some examples include CompTIA or IBM.

Data architect career path

Getting started as a data architect requires earning the necessary bachelor’s and possibly master’s degrees. These roles aren’t typically open to professionals without a formal education. Once you’ve gained the needed education, you can look for entry-level roles in a similar field, such as a data warehouse developer or a data modeler, and earn the necessary hands-on experience. You might also expect on-the-job training once hired into a data architect role.

While data architects are themselves in advanced roles, you’ll have the opportunity to progress further into other titles. Some positions include senior consultants, senior software engineers, or project managers.

Build your data architect skills with Coursera

Start preparing for your first data architect role with IBM's Data Architecture Professional Certificate program, designed to equip you with the skills you need to succeed in as little as four months. You'll work with industry standard tools and build in-demand skills like SQL, network security, and cloud computing, all while earning career credentials for your resume or LinkedIn profile.

Or, explore this exciting field and take the next step toward a data architect career by learning core data engineer skills with IBM’s Data Engineering Foundations Specialization, where you'll learn more about the foundations of database architecture and how to pursue a data architect role.