The future is data-driven. Analytics is critical in vetting key decisions. It also helps in solving problems and projecting outcomes.
However, all the information provided using analytics is only useful if the correct data is collected. A data architect plays a critical role in the success of analytics.
Whether in a small business or a big one, you need to take stock of your data, who is looking after it, and the current strategy to manage it.
The data architect needs to determine the direction of the data strategy. Then they must build the necessary systems in support of this.
So, what is the role of the data architect, and what is their importance to the company? Let’s take a look.
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What Is a Data Architect?
A data architect is an IT professional who deals with procedures, models, policies, and technologies. This helps to collect, store, retrieve, and organize information for a business.
Think of a data architect as an organizational data strategy expert. This includes standards for data flow, data quality, and data security in the business.
Data architects will provide standard business vocabulary to express strategic needs. This will also outline high-level integrated designs that align with the business strategy.
Data architects understand organizational needs while exploring data structures to create a blueprint. This helps build an integrated framework that is easily accessible with secure data that is aligned with corporate strategy.
Data architects also define the processes involved in maintaining and testing data. If you are a data architect, you will have to consider all the data sources related to business operations. Then you must outline the design to centralize, maintain, and integrate the data.
Data Architecture Skills
To be the best data architect, you must have extensive systems development knowledge. This must include systems development life cycle and project management requirements.
Then you must also be an expert in testing and design techniques. You will need to be proficient in design and data modeling. This can include learning database administration and SQL development.
Then you will need to understand machine learning and predictive modeling. You must have the ability to implement common data management reporting technologies.
It helps to know the basics of NoSQL databases and data visualization with predictive analytics. Finally, you must gain knowledge of programming languages like Java, C++, Perl, and Python.
Finally, you must coordinate and collaborate with different users and system designers. Soft skills you need for the job include team management, problem-solving, and effective communication.
How to Become a Data Architect?
A bachelor’s degree is the minimum qualification required to become a data architect. This can be completed in computer engineering or computer science.
Then it also helps to get a postgraduate degree. Then you can cover more in application design, data management, systems analysis, and big data development. Check out this masters degree in data science to further your career.
Become a Data Architect Today
Now that you know the role of a data architect, it is time to boost your education. If you are a fresh graduate, you can jumpstart with internships. This can give you exposure to application design and network management.
Then it would help if you worked on skills related to data modeling and data warehousing to progress naturally in your career. If you enjoyed reading this data analytics guide, check out some of our other posts.