Complete Guide for Switching Your Career in Data Science : Data Architect

  • Introduction
  • Is a data architect role a good career option to explore?
  • Who would use a data architect?
  • Who is a data architect?
  • What do data architects do?
  • How much does a data architect earn?
  • What is the career path of a data architect?
  • How to become a data architect?
  • Educational Prerequisites to become a data architect
  • Skills needed to become a data architect
  • Technical skills
  • Practical skills
  • Soft skills
  • Demand for data architect professionals in India
  • Job growth in the data architect role
  • Which are the industries you must consider as a data architect?
  • How do I switch my career to a Data Architect?
  • Where to find data architect job requirements?
  • Takeaway


A Data Architect designs and creates databases for different enterprises. This person is accountable for optimising the data that companies collect, which will, in turn, provide them with greater insight into their markets and customers. Due to this vital function, businesses highly regard data architects as an integral part of their operations.

Is a data architect role a good career option to explore?

The main goal of a data architect is to make sure all business data is effectively collected and integrated across departments and company branches. The position entails working independently and under supervision – usually at the top management level – to solve problems or advise on future organisation strategies, depending on which department they work within (analytics, marketing etc.). A large part of the job required generating reports from big data sets found in databases.

This position requires software development and business administration knowledge, especially relating to the storage/retrieval of information.

Check out these five common traits every good Data Architect should possess:

1) Good technical knowledge of all kinds of programming languages used in the field (RDBMS, NoSQL etc.)

2) Ability to think outside the box when solving problems related to data collection and integration

3) Intuition – knowing how to separate what is relevant and not when analysing big sets of data

4) Ability to communicate clearly and persuasively with other business professionals, particularly about data-related issues

5) Passion for gathering and analysing information.

Who would use a data architect?

Many organisations need a data architect to become more efficient and effective. These include:

– Businesses involved with eCommerce and online retail (e-commerce companies etc.)

– Small and large scale enterprises that focus on collecting information about their customers, such as financial institutions

– Big corporations want to maximise the potential of their organisational data for competitive advantage. For example, analysing social media data collected by big brands such as Sony could provide them with an insight into consumer behaviour.

– This role is also popular within marketing departments where sales teams or customer service agents share data, in contrast to areas like IT, which often requires a specific technical position to implement new software systems successfully.

Who is a data architect?

If you’ve seen “The Matrix” and recognise the Architect as the original creator of this world for human minds to inhabit, then you know that like their blockbuster counterpart, data architects create the database from scratch. They design how data will be retrieved, processed, and consumed.

What do data architects do?

Do you enjoy solving complex problems and working with data? 

Are you driven by curiosity, finding excitement in the construction of complex database systems?

A data architect profession is ideal for you.

In order to streamline the exchange of data, data architects build and organise databases. They are responsible for designing a database that is accurate, secure, and accessible by multiple users without compromising security or performance.

They also manage all physical aspects of database creation and maintenance – both online and offline – so they must be fully versed in networking, database management, systems infrastructure, and storage.

Data architects work closely with data scientists as well to understand the underlying analytical problem that needs to be solved. They are involved in all aspects of the design process from database layout to security and performance requirements.

How much does a data architect earn?

India follows the same trend as other countries when it comes to the salaries of Data Architects. Both experienced professionals and entry-level employees can earn lucrative amounts depending on their level of expertise, ability and the company that they work for. The national average salary for a Data Architect in India is ₹20,00,000 per annum.

What is the career path of a data architect?

A data architect can be as technical or as non-technical depending on your area of interest. For example, a typical software engineering career path involves starting off as a programmer and then moving up to software engineer. A non-technical data architecture career path might involve progressing from IT project manager to senior IT project manager and then becoming an enterprise business analyst in an organisation.

How to become a data architect?

Getting a job as a data architect is somewhat similar to landing an interview with the Architect of the Matrix. There are very few positions available and even fewer open for new entrants.

Therefore, your best bet is to prepare yourself by taking courses in related subjects or get involved in projects that require you to have experience with data architecture.

Another way to increase your chances of landing a job as a data architect is to get certified by the Data Management Association or the International Institute for Information Technology.

Data architects must have a broad knowledge of relational databases, SQL language, NoSQL solutions (such as MongoDB and Cassandra), Hadoop with MapReduce, cloud computing platforms such as Amazon EC2, and Yarn.

Education prerequisites to become a data architect

Individuals with a bachelor’s degree in computer science or information technology are able to land entry-level positions as data administrators while those with a master’s degree have better opportunities and earn more than the average salary.

There is no educational qualification required to become a database administrator or business intelligence (BI) administrator, but data architects need a bachelor’s degree in computer science. A master’s degree is preferred by many employers, though not always necessary for career advancement.

Architects are often required to have strong communication skills and know several languages such as SQL and Java. They should also have a working knowledge of relational databases, data modelling techniques, and object-relational mapping.

Skills needed to become a data architect

Here are some of the skills a data architect needs to be great.

Technical skills

  • Data modeling skills;
  • Database architecture, Data warehousing, and Data governance experience.
  • Experience with SQL, and Python or R.
  • Know data visualisation tools (Tableau).
  • Knowledge of data retention concepts and practices.
  • Automation of data flows and integrations.
  • Understanding of Java and XML.

Practical skills

  • Can lead multiple, highly complex efforts simultaneously.
  • Can establish and implement standards and guidelines.
  • Can determine key solutions that meet your needs in the areas of performance, scalability, reliability, and security.
  • Evaluate new technologies for data management.
  • Can explain technical ideas to upper-level management and officers.
  • Can work independently, solve problems, and have strong attention to detail.

Soft skills

  • Strong communication skills.
  • Provide technical leadership and guidance to a team.

Now you know what it takes to be a data architect. However, some useful career tips are never too much. So if you want to take your job prep to the next level, just scroll down our data science career guide for additional information on employment opportunities we’ve provided that should provide knowledge to help you step into a successful data scientist position.

Demand for data architect professionals in India

This position is vital for effective data collection and business intelligence purposes for businesses. A data architect is expected to have a bachelor’s degree in computer science or information technology, but most employers prefer someone who has had at least five years of experience in the field either through internships or similar jobs beforehand. Since it can be very challenging to find someone with all these qualifications, companies are willing to pay high salaries for up-to-date professionals on the latest technologies available.

There are currently many job opportunities within India for professionals interested in working as Data Architects. If you hope to become one of them, make sure you meet all the criteria mentioned above while offering your employer something new and different from what they’re already getting.

Job growth in the data architect role

A data architect is one of the most exciting and important roles in data science. According to the US Bureau of Labor Statistics, the computer network architect profession is anticipated to increase by 5% over the next decade. The need for reporting and business intelligence services has also been rising within India as more companies have invested in online marketing strategies.

Employment opportunities for Data Architects are expected to increase across many sectors of the Indian economy as organisations aim to boost their revenue levels through data analysis and big data applications. This means that job prospects will be strong regardless of the industry you wish to work within – retail, finance etc. – but make sure your knowledge remains up-to-date with new technologies by going for training courses or updating your skills through innovative online courses.

Which are the industries you must consider as a data architect?

Many different companies need an expert data architect for their business. This role is significant within the IT, retail and BFSI industries.

– Retail Companies require information about their customers to sell products or services more successfully. The more they know about what interests them, who they are and what they like to do -the better they can target their marketing campaigns.

Online shopping websites like eBay, Amazon, etc., need people to help manage the data collected to serve customers better and maintain higher revenue generation rates.

The banking sector needs skilled individuals to make sure the information they receive is accurate when processing credit card payments or doing money transfers between accounts.

How do I switch my career to a Data Architect?

As the world is moving towards heavy reliance on data, businesses hire experts who can make sense of this information. If you want to join the fast-growing data archiving industry, there are specific steps you should follow to get there.

For example, having a relevant degree or diploma will be advantageous for your cause since it will help a potential employer understand that you have the requisite skills and knowledge.

Make sure you have a good understanding of the latest technologies being used within this industry, such as big data tools or cloud computing applications, so that you can use them to your advantage.

RISE WPU offers the most innovative, industry-led and affordable PG program in Data Science that you could opt for if you feel that upskilling is what you’re lacking at the moment.

Where to find data architect job requirements?

A good place to find data architect job requirements would be on specialist recruitment firms’ websites since they often publish available positions.

You could search for job listings within your state so that you could apply for positions that might appeal to you more.


The role of data architect is vital within the world of data science. This career path offers countless opportunities for those with relevant skills, but make sure you provide employers with more than just your technical capabilities.

Job opportunities for Data scientist continue to rise