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WHY DO COMPANIES HAVE DATA ARCHITECTS?

Updated: Feb 27


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Information is a vital asset to companies these days, and the ability to use, understand, and interpret data can mean the ultimate difference between long-term success and failure. This means companies are increasingly recognizing the pivotal role of data architects in effectively managing and leveraging their data.


The growing complexity of data ecosystems, coupled with the need for strategic data management solutions, has brought this role to the forefront of many IT teams. But many people may still not be aware of what data architects do every day, or what they are responsible for.


What is a Data Architect?

At the heart of an organization's IT and data management team, a data architect occupies a pivotal position. Entrusted with the task of designing and overseeing data systems and structures, these people play an important role in ensuring the availability, integrity, and security of a company’s data. They often work hand in hand with other team members in security, programming, networking, and project management, with much of the work able to overlap.


We’ve covered some of the ways that data architects can specialize – in security, in software, in cloud services, and so on. Their expertise covers a comprehensive and impressive set of areas, including data modeling, database design, developing application programming interfaces (APIs), integration of new technologies, and much more.


The Role of Data Architects vs. Other IT Roles

We’ve spent a lot of time digging into some of the various roles in the IT industry, and how they differ from one another. Here’s a quick review of how each one works:

  • Software Architects: Software architects prioritize the design of software applications, shaping their structure, behavior, and functionality. They determine how users interact with software, while data architects establish the backbone of information that software relies upon.

  • Network Architects: Network architects streamline and manage the complex digital connections of an organization, ensuring that information can get where it needs to go in the most effective and efficient way. Often, this role can overlap with that of a data architect, and many network architects began their careers in data services.

  • Solutions Architects: Solutions architects are like strategic problem solvers who craft comprehensive solutions to specific business challenges. Their focus is on creating seamless integrations between various technologies to meet business objectives.

  • Security Architects: Security architects are a main line of defense against potential threats to their organization. Their expertise lies in fortifying and maintaining protective measures like firewalls and encryption, focusing on creating systems that prevent breaches and unauthorized access.

  • Data Analysts: Data analysts look closely at the information collected and available, using statistical tools to find new insights and guide the overall decision-making process within an organization. Data architects keep this raw data organized, accessible, and properly maintained, by designing and building the fundamental systems it is stored in and collected by.

What Does a Data Architect Do?

Think of these experts as major problem solvers who use their technology know-how to shape databases, which in turn make it easier to handle and explore massive sets of data. They blend different computer systems and technological capabilities together in order to create data solutions that work at a company-wide scale.


Often, they team up with data engineers and other IT professionals to bring new databases and data management options online, and they're the ones making sure everything stays organized, secure, and ready to roll. They also often play a role in security, too, refining the data structure and keeping everything in line with rules and industry norms.


Responsibilities of a Data Architect

While no two roles are exactly similar – and even within the same role, the responsibilities may shift from day to day and project to project – here are some of the main responsibilities that any data architect may be expected to handle.

  • Meeting with senior management and investors to define requirements and goals

  • Ensuring data architecture adheres to government and industry regulations

  • Establishing monitoring and feedback mechanisms for continuous improvement

  • Ensuring database security

  • Studying emerging methods, applications, and solutions to enhance data-related features

  • Collaborating with marketing departments for prototype development before product releases

  • Developing database protocols for integrity assurance

  • Preparing comprehensive end-to-end models for evaluation and application

  • Coding data structures and integrating current databases

  • Exploring innovative data collection techniques

  • Creating and implementing database management processes

  • Refining and overseeing databases

  • Assessing existing databases and structures

The Benefits of Having Data Architects

Companies that choose to invest in the expertise of data architects enjoy some pretty compelling advantages. These will significantly improve their ability to operate safely and efficiently, in the digital space and outside of it. The biggest boosts to a business would be:


Efficient Data Management

Data architects play a crucial role in streamlining a huge amount of intricate data operations. By making the collection, storage, and retrieval of data more intuitive and clear, they enable organizations to more seamlessly navigate their data ecosystem.


Data-Driven Decision Making

Through the meticulous design and planning of organized and easily accessible data structures, data architects empower businesses to make critical decisions grounded in reliable, data-driven insights. This information often leads to enhanced operational efficiency and a big competitive advantage.


Scalability and Flexibility

The data systems built by these professionals are not only tailored to current data needs, but they are master-planned to accommodate future data growth and the evolving demands of the business landscape. This inherent scalability and flexibility give organizations the agility to adapt and thrive in ever-changing environments.


Data Quality Assurance

Data architects are champions of data accuracy and reliability. They establish and enforce rigorous data standards, along with meticulous validation procedures. This dedication to data quality ensures that the data used for decision-making and strategic planning is trustworthy, boosting confidence throughout the organization.


Skills Required for Data Architects

The role of a data architect demands a unique mix of technical, programming, and other essential skills. If you’re thinking of pursuing a career in the field, at a minimum you should have:

  • Data Modeling Experience: This expertise is crucial in designing optimal data structures that cater to the organization's data management needs while ensuring efficiency and coherence.

  • Database Management Proficiency: Ranging from the complexities of relational databases to the agility of NoSQL paradigms, a data architect should have an in-depth knowledge of these systems to make informed decisions.

  • Data Integration Knowledge: The ability to seamlessly weave together varied datasets into a coherent, singular system ensures that decisions are trustworthy, accurate, and based on the best possible information.

  • A Love of Problem Solving: Data architects are entrusted with fixing complex data challenges and creating solutions from the ground up. Good analytical skills are a must, enabling effective thinking that align with the organization's overall data management objectives and strategy.

  • Effective Communication: It may be highly technical, but that means it’s even more important to speak accurately. You’ll be discussing complicated systems with stakeholders and other people of varying knowledge, and shifting up and down between jargon and conversational language is a must.

Average Salary of a Data Architect

The average salary of a data architect in Canada can be competitive and often reflects the specialized skill set and critical role they play in organizations.


These salaries range based on factors such as experience, location, specialization, and industry. In Canada, data architects can earn $150,000+ per year, making it well worth pursuing as a career. This compensation acknowledges the technical proficiency required and underscores the role’s strategic value in structuring and optimizing important data ecosystems.


Finding Skilled Data Architects

Here at Talint Solutions, we're experts at helping businesses hire the best IT professionals. From those companies who are searching "I need to hire a CTO" all the way to those searching to hire skilled data architects - we've got you. With decades of experience filling these roles, we know how crucial data architects are for thriving in today's business landscape, and we're committed to finding the perfect fit for your data management needs.


If your company is on the lookout for a sorely-needed data architect and you don’t know where to start looking, it’s right here on this page. Reach out today and let’s find you some talent!

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