In this blog, we will learn about the following things:
Who is a Data Architect?
A data architect is a professional who designs, creates, and manages an organization’s data architecture. They translate business requirements and give technical requirements. Data architects define how data is stored, integrated, and used within the organization.
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Their main job is to create technology roadmaps to meet the organization’s business requirements. They also design blueprints for the flow of data and ensure that data is available to the people who need it.
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Data Architects are very important for an organization. For the important role that they have, let’s see how much they’re paid and what the average Data architect salary in India is.
Average Salary of Data Architects
As per the data available on talent.com, the Average Data Architect Salary in India is around ₹22,00,000 per annum. The salaries can range from ₹15,00,000 per annum for entry-level positions, to ₹38,00,000 for experienced and seasoned professionals.The average Data Architect salary in India is very high, compared to the Average Software Developer Salary, around ₹5,00,000, which is the chosen career by most Computer Science graduates.
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Factors affecting Data Architects’ Salaries
Now that we’ve seen what the average Data Architect salary in India is, let’s see what factors can affect their incomes.
As a Data Architect or any other professional, your salary will highly depend on the job location where you’re working. Salaries offered in metropolitan cities like Delhi and Mumbai, or IT hubs like Bangalore, Pune, and Hyderabad are usually higher than those in smaller cities. These cities provide companies with the infrastructure that they need to survive. But along with the higher salaries, living expenses in metropolitans are also more.
So let’s look at the average Data Architect Salary in Indian cities. Living in Delhi as a Data Architect, you can earn around ₹24,56,000 annually, which is above the national average. Whereas, in Mumbai, the average income comes down to ₹15,00,000 per annum. In Bangalore, which is known as the IT city of India, Data Architects earn ₹19,17,000 annually on average. In Hyderabad, the average salary is ₹17,22,000 per annum, and in Pune and Chennai, the salaries are ₹17,82,000 and ₹16,58,000 per year, respectively.
Employer or Company
The bigger the size of the company, the more salary you can expect to get. Tech giants like IBM, Oracle, Infosys, Adobe, TCS, and Amazon have humongous amounts of data. To utilize this data, they need skilled and experienced Data Architects, and they’re willing to pay very high salaries for it.
According to the data on Glassdoor.com, the Big Data Architect Salary in India offered by Tata Consultancy Services on an average is ₹14,83,000 per annum and that offered by Cognizant Technology Solutions is ₹20,50,000. The average salaries that companies like Accenture, IBM, Fiserv, and Deloitte pay to their employees are ₹16,16,000, ₹18,76,000, ₹10,80,000, and ₹28,61,000 per annum, respectively.
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Your experience with designing and handling database management systems is also an important factor that employers consider while deciding your salary. Companies seek experienced and hardworking professionals who can use data to maximize profit. Work experience will have the biggest impact on your payscale, let’s understand how much.
According to Payscale.com, in an entry-level position, a data architect with around 1-4 years of work experience in the IT industry, earns ₹8,80,000 annually, on average. On the other hand, highly experienced professionals, working as Data Architects for around 10-15 years, earn around more than ₹20,00,000 per annum. The average salary for data architects with 5-9 years of experience is ₹14,96,000, in between these values.
It is very clear that as you gain experience in the industry, your value as a data architect will increase, and so will the amount on your paycheck.
A Data Architect Salary in India is also impacted by the skills they have. Being a Data Architect requires expertise in skills like Data Modelling, Database Architecture, Database management, and programming languages like Python, Java and C++.
According to the data on Payscale.com, people with skills like AWS, ETL, Data Management, Big Data Analytics earn 19%, 10%, 9% and 7% more than the average Data Architect Salary in India. Skills like Data Modelling, Data Warehousing, Python and Hadoop are also correlated with salaries that are above average.
Data Architects with expertise in Data Modelling, earn ₹19,86,529 per annum on average. The average annual incomes of professionals with skills like Database Architecture, Business Intelligence, Data Warehouse and Big Data Analytics are ₹19,67,763, ₹19,17,429, ₹20,10,847 and ₹21,17,500 respectively.
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Like almost all other industries in the world, the Gender pay gap exists in the IT industry too. According to 6figr.com, for the same skills and equal work, if a man earns ₹100, a woman earns only ₹89. It is a huge cause of concern, that men and women with the same skill set and work experience, still earn different amounts of money, because of their gender.
Quite evidently, being a Data Architect in India these days is very rewarding. So let’s see what the future holds for them.
This job requires a lot of hard work, determination, and knowledge. It would be safe to say that working as a data architect is no piece of cake. It is a challenging job, requiring not just technical expertise, but also the ability to multitask and lead teams. But, along with all these challenges, the job also offers a great opportunity for personal growth. The learning curve will be a continuous one, and you will always continue to grow.
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As we have already seen, the pay-cheques of Data Architects are way bigger than other jobs in the industry. As your work experience continues to grow, your salary will also get higher and higher. In addition to this, an increase in the demand for data architects will also lead to higher salaries in the future.
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As technology evolves and time goes by, the amount of data present in the world also keeps on increasing. With this enormous amount of data, the data science industry continues to grow and along with, grows the need for Data Architects and Data Scientists, to help companies use this data efficiently, harness its power and increase profits.
As a data architect, you design databases for organizations to their employees to access and use relevant data whenever they need it. It is a highly rewarding field.
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