Data Architect designs systems for business users to make sure that they get access to the enterprise data as they have it. Also, Data architect skills involve more knowledge and the importance of a mixture of data information.
The role of an Information Architect may be very senior. The info architects must have a mixture of those skills.
Data Architect Business skills :
Their skills understand the way to leverage data to extract business value. They have good knowledge of the industry, competition, trends, and markets. So they design systems that are useful for the business. Data architects know the way to create data available to the business. Also, they increase their footprint, acquire more customers, improve products and services, reduce costs and risks.
Technology skills :
A data architect should have a decent understanding of enterprise data strategies and associated technology solutions. But they remember varied trends within the info engineering and data science space. They have conversant skills with various technologies and tools. Further data architect skills are available to make data-driven solutions, their functionalities, advantages, costs.
While many companies prefer them to be hands-on with various technologies, others want them to concentrate on business results.
Design skills :
Data architect skills should build solutions that may be easily adopted by business users, and hence a design thinking approach is critical. The solutions should be designed such they’re easy to use.
Data should be easily available to the correct users, and data elements should be defined so they’re correctly interpreted.
Stakeholder management skills :
A data architect should be good at managing the perceptions of varied stakeholders. Also, Data architect skills are important to contact the business users on how the proposed solutions are helping them to achieve business goals. And the way the proposed solution is healthier than the opposite available options at their disposal.
They drive the management to make the strategic competencies and frameworks to drive data. But Data Architects should be ready to help the technical teams to grasp the necessity to accommodates the architectural guidelines by explaining the larger picture to them.
Programming Skills :
Database architects use multiple programming languages to style database applications, which need excellent computer programing skills. Hence Data architect skills are important for programming.
Computer Skills :
Database architects use computer skills to figure with multiple software programs, computer networks, and applications. Further Data architect skills are important to impart computer knowledge.
Analytical Thinking Skills :
Database architects use analytical skills to judge databases and database components. Therefore Data architect skills are important to think creatively.
Attention to detail :
Database architects study and examine databases for security, data flow, and functionality, which needs good attention to detail. Further Data architect skills are important for giving and receiving information in detail.
Communication skills :
Database architects collaborate frequently with other members of the IT staff, which needs good verbal communication skills.
Databases and Cloud Architecture Skills :
Data Architects perform most of the work on the Cloud Infrastructure (Iaas, Paas, Saas). Understanding Cloud technologies like Microsoft Azure, Google Cloud, Amazon Web Services (AWS), and Oracle Cloud is extremely important. Data architect skills are important to cloud services. The knowledge of the NoSQL database is required as experience to handle data technologies that are latest such as MongoDB, Hadoop, Cassandra and Pig, MapReduce, and HBase.
Machine Learning and Natural Language Processing Skills :
Knowledge of Machine Learning, Pattern Recognition, and language Processing is incredibly important because Data Architects understand the interaction between computers and human language to resolve data-driven problems. They also use clusters for handling data and text mining.
Ability to use a variety of Design :
A good Architect isn’t limited to at least one toolset. plenty of design and visualization tools out there continue evolving and new ones possibly are introduced within the future.
Creative and Analytical Problem Solving Skills :
This skill is amongst the highest 13 skills for Data Architects. Becoming creative similarly as analytical in resolving issues may be a sought-after skill for Architect positions.
In Conclusion, the above-listed skills if acquired will make an excellent Data Architect. Remember these skills take some years to accumulate, so have a group objective, continue to learn, and training to become an impressive Data Architect.
All you need to know about Data Science
|Introduction to Data Science||Career Options after Data Science|
|Future of Data Science||Role of Data Science in Business Growth|
|Skills you need for Data Science||Benefits of Data Science|
|Disadvantages of Data Science||Salary After Data Science Course|
Learn Data Science
|Top 7 Data Science University/ Colleges in India||Top 7 Training Institutes of Data Science|
|Top 7 Online Data Science Training Programs||Top 7 Certification Courses of Data Science|
Learn Data Science with WAC
|Data Science Webinars||Data Science Workshops|
|Data Science Summer Training||Data Science One-on-One Training|
|Data Science Online Summer Training||Data Science Recorded Training|
Other Skills in Demand
|Artificial Intelligence||Data Science|
|Digital Marketing||Business Analytics|
|Big Data||Internet of Things|
|Python Programming||Robotics & Embedded System|
|Android App Development||Machine Learning|