Data Architect

A data architect is an IT professional responsible for defining the policies, procedures, models and technologies to be used in collecting, organizing, storing and accessing company information.Data architects focus on high-level business intelligence relationships and data policies, where the previously mentioned positions handle the application of those relationships and policies to the design of specific databases.

Various skills required for becoming a succesful Data Architect are as follows:

• 1. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
• 2. Proficiency in data modeling and design, including SQL development and database administration
• 3. Understanding of predictive modeling, NLP and text analysis, Machine Learning .
• 4. Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
• 5. Data mining, visualization, and Machine Learning skills Knowledge of programming languages Python, C/C++, Java, and Perl
• 6. Data architect needs to coordinate and collaborate with users, system designers, and developers in their day-to-day functions.
• 7. Soft skills like effective communication, team management, problem-solving, and leadership are highly desirable traits of a data architect.

Roadmap to become Data Architect

To be a Data Architect, the bare minimum qualification requirement is a bachelor's degree in either computer science, computer engineering, or a related field.The coursework should cover data management, programming, application design, big data developments, systems analysis, and technology architectures.If you are a fresh graduate aspiring to be a Data Architect, you can jumpstart with internships that offer exposure to network management and application design and proceed towards the role of Database Administrators.