The data architect job description has become one of the most sought-after jobs on the internet. Data-related jobs are on the rise in today’s data-driven world. We have already explained cloud computing job requirements and business intelligence analyst skills in these articles. Data science professionals are in high demand. Large and small businesses want to recruit the top talent in the market to assist them in efficiently collecting, processing, and analyzing enormous amounts of data. So, it’s time to show you the data architect job description, their salaries, requirements, and more.

A data architect is a professional in data architecture, a branch of information technology that focuses on developing, inventing, deploying, and managing an organization’s data architecture. Data architects influence how data is stored, consumed, integrated with other sources of information, and managed by distinct business units and IT systems and any applications that use or process it in some way. It’s one of four enterprise architecture domains alongside business architecture and application development.

The responsibilities of a data architect at this level include laying the groundwork for an organization’s database by coming up with structural and installation options. They collaborate with database administrators and analysts to guarantee that company data is easily accessible. Creating database solutions, assessing needs, and producing design reports are part of the job.

The Data Architect works with management to choose the best data-gathering techniques. Many in this position have a Master’s degree and extensive training in statistics, mathematics, computer science, or a closely related field. You must be detail-oriented and comprehend abstract ideas to do well in this job. Today, data architects must be able to model and predict how changes in how an organization obtains data might affect how it uses that data, as well as map out how data will flow through the many phases of a project.

Back in Berlin! Data Natives 2022, in person and online - tickets available now!

The data architect is one of the most in-demand professions within data science. Organizations wanting to implement a strong data strategy need a data architect who knows how to work with big databases, analyze and apply machine learning, and utilize programming languages. These businesses also want the data architect to assist them in determining how the information—both structured and unstructured—should be stored and used with other IT systems. According to a Forbes article, over half of all businesses in the world conduct data analysis to obtain operational insights that help them make better decisions. In the next several years, 71 percent of these firms anticipate company investment in data and analytics will speed up.

Are you interested? Let’s examine some sub-job descriptions of this profession.

Senior data architects are in charge of the overall plan for data architecture systems. Their duty is optimizing databases, building ETL solutions, and overseeing automated data flow.

As a senior data architect, you’ll be in charge of using the company’s technology platforms to their full potential and managing cloud and on-premise environments. You’ll also be in charge of verifying data quality.

You’ll be in charge of the company’s data architecture, ensuring it is safe and long-lasting. You will collaborate with other teams on developing various data integration techniques. Your employer will expect you to have significant expertise in data management.

When it comes to being a Senior Data Architect, there’s more to it than meets the eye. Did you know that they make an average of $57.96 per hour? That’s $120,554 per year!

An IT professional in charge of a company’s cloud computing strategy is known as a cloud architect. This includes policies for adopting clouds, cloud application design, and the oversight and monitoring of cloud operations. Cloud architects are responsible for architecture and deployment in cloud environments, including public clouds, private clouds, and hybrid Clouds. They also provide consultancy to their companies and must stay informed on current trends and concerns. Companies that employ cloud architects either use cloud services or intend to migrate to the internet.

Architects are responsible for providing project management, architecture, and technical guidance to the cloud architect team. They may also be engaged in legal issues surrounding cloud computing, managing contracts, and contacting legal and procurement teams. Architects ensure that service level agreements are fulfilled.

According to Payscale’s salary research for 2022, cloud architects may expect base pay ranging from $80,000 to $167,000 per year, depending on various criteria such as education, location, skills, and experience. According to Payscale, the average pay for a cloud architect is $128,418.

According to DAMA International’s Data Management Body of Knowledge, a Data Architect “provides common business language and strategic requirements, develops high-level integrated designs to meet those requirements, and aligns with company strategy and associated business architecture.”

A data architect is a professional who designs, develops, and maintains an integrated framework of easily accessible, secure data consistent with company strategy. The data architect also defines the processes for testing and maintaining the database.

The responsibilities of a data architect are numerous, including research, design, evaluation, integration, deployment, monitoring, and collaboration. The following are some of the duties of a data architect:

You may be asking if it’s the same as a data engineer. However, don’t let these responsibilities mislead and confuse you. The titles Data Architect and Data Engineer are frequently conflated, and even worse, they are sometimes employed interchangeably. However, the work of a Data Architect differs significantly from that of a Data Engineer.

The data architect and data engineer ranks are frequently conflated, which causes them to be interchangeable. The defining distinction between both positions is their major responsibilities.

Formal education, internships, certifications, and relevant work experience are all important aspects of a data architect’s qualifications to get a job and advance their profession.

The following are a few of the most important data architect abilities:

So, is it worth it?

According to ZipRecruiter, the median salary for enterprise data architects in the United States was $132,617 per year as of September 2021, ranging from a low of $36,500 to a high of $190,500. IT data architect ($142,869), platform architect ($140,000), data architecture director (£125k), and cloud business architect (£130k) were among the best-paying jobs.

We are looking for contributors and here is your chance to shine. Click the button below to learn more!