Find out the top 10 core skills you need to master as a data architect and what hard skills you need to know to succeed in this job.

A data architect is assigned the primary role of designing and managing all aspects of a company's data architecture to ensure proper use of company's data and databases. He or she will create the various blueprints of data management systems and then integrate to enable easy access and use of the data at any given time.

In addition to the major role; he or she will typically handle the following tasks from time to time; develop a measure to ensure data accuracy and integrity, develop data models and architecture, develop data security and backup procedures, install and configure databases systems, perform diagnostic tests and troubleshooting processes on the database systems and to identify future data and database needs.

Core Skills Required to be a Data Architect

Core skills describe a set of non-technical abilities, knowledge, and understanding that form the basis for successful participation in the workplace. Core skills enable employees to efficiently and professionally navigate the world of work and interact with others, as well as adapt and think critically to solve problems.

Core skills are often tagged onto job descriptions to find or attract employees with specific essential core values that enable the company to remain competitive, build relationships, and improve productivity.

A data architect should master the following 10 core skills to fulfill her job properly.


Innovation is the process of translating new invention into a service that creates value or brings better solutions that meet the requirements.

A Data Architect ought to introduce innovation in their business to help save time and money giving a competitive advantage to grow and adapt the business in today's marketplace as well as creating more efficient processes and ideas with a likelihood for your business to succeed.

Work Attitude:

Work Attitude is one's feelings towards and beliefs about one's job and their behavior that can tell how it feels to be there.

A Data Architect ought to encourage his workers and provide all the requirements for the workplace to ensure a positive attitude is maintained by the employees that can help them get a promotion, succeed on projects, meet goals and enjoy the job more.

Emotion Management:

Emotion Management is the ability to realize, readily accept and successfully control feelings on oneself and sometimes in others around you by being in complete authority over your thoughts and feelings that are generated whenever your values are touched.

A Data Architect must be able to manage his emotions as well as assist the staff to control their emotions to ensure that the professional reputation, the efficiency, and productivity is not compromised.

Emotional Intelligence:

Emotional Intelligence is the capability to identify your emotions, understand what they are telling me and realize how the feelings are affecting you and the people around you.

A Data Architect should be wise to handle different personalities that carry different emotions presented in the workplace while ensuring relationships are managed more efficiently by respecting your perception and the employee's as well.

Attention to Detail:

Attention to Detail is the capacity to achieve a thoroughness and accuracy when accomplishing a task.

A Data Architect needs to have this prime characteristic and utilize it in a high performing organization that allows both the customers and staff to understand the need to be keen to all the details required to avoid massive costs for overlooked details that are common in the workplace.

Personal Commitment:

Personal Commitment is an obligation that you have voluntarily agreed to fulfill without being cajoled or threatened and are willing to be held accountable for the results.

A Data Architect ought to understand that though adopting new policies and procedures will be met with resistance, the approach by which safety standards are implemented and enforced influences employee's attitudes and commitment towards the organization.

Using Common Sense:

Using Common Sense is the ability to see what is missing in a situation or a project and supplying it without necessarily being assigned or asked to do it.

A Data Architect needs to creatively train his employees always to see the missing element that is typically crucial in any workplace or project and take the opportunity to do business out of it.

Entrepreneurial Thinking:

Entrepreneurial Thinking is a mindset that allows embraces critical questioning, innovation, service and continuous improvement with an attitude of change.

A Data Architect should challenge himself to see the big picture and creatively think outside the box too with the ability to fight all the challenges faced and keep going in the face of calamity and the social skills needed to build great teams in the workplace.

Computer Skills:

Computer Skills are the necessary computer working skills that each employee need to have while seeking to get admitted into the professional world.

A Data Architect ought to be technologically oriented and hire employees with strong computer skills because they fare better in the job market than their tech-challenged counterparts bringing a high level of quality employees in the job seeking category.

Programming Skills:

Programming Skills is the ability to use technical languages, tools, and operating systems professionally in the workplace.

A Data Architect ought to value digital competencies in the workplace, being the third core subject and treated with the same respect as numeracy and literacy because they are the future of the company and very vital to the growth and productivity of the business.

Hard Skills Required to be a Data Architect

Hard skills are job-specific skill sets, or expertise, that are teachable and whose presence can be tested through exams. While core skills are more difficult to quantify and less tangible, hard skills are quantifiable and more defined.

Hard skills are usually listed on an applicant's resume to help recruiters know the applicant's qualifications for the applied position. A recruiter, therefore, needs to review the applicant's resume and education to find out if he/she has the knowledge necessary to get the job done.

A data architect should have a good command of the following hard skills to succeed in her job.

Data Architect: Hard skills list

Agile methodologies and ERP implementation
Analyzing Existing ETL code
Application Server Software
Backup/archival Software
Business Process Modeling (BPM)
C/C++ Java
Database Design
Data Integration
Data Maintenance
Database Management
Data Mining
Data modeling tools (e.g. ERWin, Enterprise Architect and Visio)
Database Management System Software
Database Schema DDL/instance layout
Database Security
Data Visualization
Development Environment Software
Enterprise application integration software
ETL tools
General Business
Hadoop and NoSQL databases
Informatica ETL tools
Integrate Technical Functionality
Machine learning
Microsoft SQL Server
MS Windows
NLP and text analysis
NoSQL Databases
Operating Systems
Oracle DB 8i/9i/10g/ 11i
Predictive Analytics
Predictive Modeling
Presenting Technical Information
Project Management
Reporting Techniques
Requirements Analysis
SQL Development
Systems Development
Technical Zeal
Transact SQL
Unstructured Data

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