Look around you and take note of the companies that are using data to increase their profits if you don’t believe big data is a significant enough issue to take into account. We are unable to single out one or two industries because it affects every sector you can imagine. However, it’s always a good idea to be aware of how to join the big data train without falling behind.
You must take the time to comprehend how contemporary data architecture functions and how it can be used to transform the enormous amount of raw data at our disposal into usable insights if you want to take full advantage of the opportunities and possibilities that the field has to offer.
You must be aware that your future data strategy will be built on the foundation of data architecture. In order to deliver insights, it is therefore beneficial for everyone to understand how data is transferred between individuals and groups before arriving at data-based projects.
Understanding a data architect’s responsibilities and how using one of them can help you make data more useful should be your first step in this direction. It is also beneficial for professionals considering this career path to understand the potential rewards of their choice.
What Is Data Architecture?
In plain English, “data architecture” is nothing more than a standard procedure that businesses use to gather, store, modify, use, and distribute data. The goal of using this procedure is to provide pertinent information to those who require it at the appropriate time so they can make more sense of it.
In the past, a data strategist at an organisation would request data from the IT team in order to use it for any purpose. The IT team then created a system to make that data accessible. The strategist frequently acquired items that they neither needed nor could use. It took a long time and didn’t live up to expectations.
It is understandable why the business strategies developed at the time using data were so constrained. We now have access to data from multiple sources, which enables strategists to draw conclusions from it more quickly and use those conclusions to create business strategies that are more effective and profitable.
The modern data architecture differs from earlier iterations in that it now unites strategists and technical experts on a single platform. They can now collaborate to identify the types of data they need to advance the business, how to acquire it, and how to use and distribute it to produce actionable insights that decision-makers can use to their advantage.
Businesses can use the cloud to centrally store all of their data, making it accessible to anyone who needs it. And thanks to its capacity for the scalability that the current data architecture requires, the cloud has played a crucial role in bringing big data into the real world of business.
Who Is a Data Architect?
Data architects are experts who create and manage databases to improve data organisation and storage. Data architects develop strategies to integrate an organization’s current infrastructure with a system that it wants in the future after first analysing the infrastructure that is currently in place system that it wants in the future after first analysing the infrastructure that is currently in place. Additionally, they are involved in writing the code necessary to build safe database frameworks that many users can access.
Data architects are responsible for overseeing an organization’s entire data process. They choose who will produce the data, how it will be used, who will control the flow of data, and how it will change during a transition.
Data Architect Roles and Responsibilities
Your primary duties will consist of outlining the guidelines, procedures, models, and tools that will be applied for collecting, organizing, storing, and accessing corporate data. This role and those of database architects and data engineers are frequently confused. Data architects focus on high-level business intelligence linkages and data policies, even though the previously mentioned professionals are in charge of applying such links and policies to the architecture of specific databases.
Data Architect Skills
Data architects have received extensive training across several disciplines. They are proficient in a variety of technologies and have excellent programming skills. Additionally, data architects are skilled communicators who have a good grasp of business insights. They are also very detail-oriented.
They won’t permit companies to incur significant losses as a result of minor mistakes like coding errors. With practice, data architects gain more commercial competencies. Although experience is a crucial quality to look for in a data architect, the capacity for creative problem-solving should also be considered.
Data architects typically supervise a group of data engineers, database managers, and data modellers. They should be able to effectively communicate with team members from various backgrounds. Not to mention, they should be aware of the most recent developments and industry-specific best practices for data collection, storage, and analysis.
How To Become a Data Architect in India?
A bachelor’s degree in computer science, computer engineering, or a related field is the absolute minimum requirement to become a data architect. Data management, programming, application design, big data development, systems analysis, and technology architectures should all be covered in the coursework.
If you are a recent graduate who wants to become a data architect, you can get a head start with internships that expose you to network administration and application development before moving on to the position of database administrator. You can gradually advance your career to a data architect’s profile by honing your database management, data modelling, and data warehousing skills.
For senior positions, businesses typically prefer candidates with a master’s degree and several years of experience in data design, management, and storage.
Even though a single course cannot teach all of the technical skills needed to be a data architect, it makes sense to pick up the necessary skills while working. You could also enrol in additional certification programmes to better yourself.
Data Architect Salary
| Data Architect Salary at Accenture | An Accenture Data Architect with 7 to 16 years of experience earns an average salary of 23.9 lakhs in India. |
| Data Architect Salary at Google | A Google Cloud Architect with seven to 31 years of experience earns an average salary of 43.4 lakhs in India. |
| Data Architect Salary at TCS | The average Tata Consultancy Services Data Architect salary in India is 19.2 lakhs for those with 8 to 17 years of experience. |
| Microsoft Data Architect Salary | A Microsoft Corporation Solution Architect’s salary in India ranges from 25.5 to 50.0 lakhs. |
| Salesforce Data Architect Salary | A Salesforce Solution Architect’s annual salary in India is 34.0 lakhs, with salaries ranging from 23.0 lakhs to 47.2 lakhs. |
FAQs on Data Architect Salary in India
What does a data architect do?
Data architects are IT specialists who use their knowledge of computer science and database design to review and analyse an organization’s data infrastructure, create future database plans, and put into practice solutions to store and manage data for both organisations and their users.
What is the value of a data architect?
According to data on talent.com, the average salary for a data architect in India is around Rs. 22 lacs. Starting salaries for entry-level jobs can be as low as 15 lacs per year and as high as 38 lacs for seasoned and experienced professionals.
Is being a data architect hard?
In their daily duties, users, system designers, and developers must coordinate and collaborate with a data architect. Soft skills like effective teamwork, leadership, problem-solving, and communication are therefore highly sought-after qualities in a data architect.
Does the data architect need to code?
A data architect may not necessarily deal with the infrastructure or coding involved in software development, but they do have an impact on how code is programmed in the long run. This is due to the fact that a data architect stands between the client and the software, never really becoming fully enmeshed in either.
Is being a data architect a stressful job?
The fact that database architects typically don’t find their work stressful is probably beneficial to their career satisfaction.
Is a data architect better than a data engineer?
The terms “data architect” and “data engineer” are frequently confused because they are related. The primary duties of both roles are what set them apart from one another. The data engineer is in charge of developing that vision, while data architects design the vision and blueprint of the organization’s data framework.
Conclusion
This discussion makes it abundantly clear that data architects are crucial to every organisation that works with massive amounts of data. For those who are willing to take the risk, this need translates into a fantastic opportunity.
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