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Who is a Data Architect?
You can have data without information, but you cannot have information without data ~ By Daniel Keys Moran
A Data Architect is a visionary who defines data standards and principles. He or she translates the business requirements into technology requirements. A career as Data Architect involves visualising and designing an organisation’s enterprise data management framework. The data management framework describes all the processes used to plan, specify, enable, acquire, create, maintain, use, achieve, retrieve, control and purge data. A Data Architect role involves maximising the data from consumers to website and vice versa. The architecture uses certain types of databases, programs and applications in order to filter, define and store data.
Data Architect in a Nutshell
A Data Architect role involves formulating the organisational data strategy. It involves data quality, flow of data within the organisation and security of data. The vision of Data Architect provides support to convert business requirements into technical requirements.
Quick Facts for Data Architect
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Industry
Information Technology
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Average Salary in India
₹131859.5
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Suitable for
Male, Female, Others
A career as a Data Architect is not gender based. It is not gender specific. Anyone can pursue a Data Architect career with relevant skills and qualifications.
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Any special needs
Yes
A Data Architect career is suitable for candidates with special needs. It comes with a desk based job role with no frequent travel requirements. It involves no exposure to extreme conditions such as extreme heat, cold or noise.
Table of Contents for Data Architect
What is the role of Data Architect?
A Data Architect is someone who understands the business needs. He or she explores existing data structures and creates a blueprint for building an integrated framework. This framework is easily accessible and securely data aligned with business strategy. A Data Architect role involves defining the processes involved in testing and maintaining the database. He or she takes all data sources into account concerning the business operations. A Data Architect outlines the design to integrate, centralise and maintain the data. He or she collaborates with data engineers to build a sound data architecture.
Developing Data Strategy
A Data Architect is responsible for developing and implementing the overall data strategy. It includes data model designs, database development standards, management and implementation of data warehouses and data analytics systems.
Identifying Data Sources
A Data Architect job includes identifying internal and external data sources. For that purpose, he or she coordinates with the leads of departments and works out on a plan for data management. He or she ensures that the plan is aligned with the organisation’s data strategy.
Managing Architecture
The work responsibilities of Data Architect includes managing end-to-end data architecture. He or she selects the platform, designs the technical architecture and develops applications to test and implement the proposed solution.
Defining Flow of Data
The role of Data Architect comes with the requirement of defining and managing the flow of data as well as dissemination of the information within the organisation. He or she integrates the technical functionality, ensures accuracy, data accessibility, and security.
What is the workplace/work environment of Data Architect like?
A Data Architect works in an office environment at a desk or on-site. He or she is usually employed by a company or educational institution for managing large amounts of data in the internal and information structures. A Data Architect performs most of his or her tasks on a computer, therefore he or she is required to sit for extended periods of time. A Data Architect career comes with a deadline.
Does Data Architect require travelling?
Likely
A Data Architect does not require to travel on a regular basis. He or she works on a computer system to perform job tasks. The role does not involve field work or outside exposure.
Employment Shifts
Full Time
A Data Architect is employed on a full-time basis. He or she works in a day shift. There is no hourly basis or part-time employment shifts in this career. Several organisations provide work from home and remote work Data Architect jobs.
Employment Nature
Contractual, Permanent
A Data Architect finds both types of employment opportunities contractual and permanent. Candidates may find opportunities as per their requirements through job portals by applying filters for preferred location and type.
Work Place
Office, Work From Home, Remote
A Data Architect usually works in an office environment. Several organisations may provide work from home or remote work employment opportunities.
Presence in Geographical Area
Semi-urban, Urban
A Data Architect finds enticing opportunities in urban locations. Cities such as Bengaluru, Hyderabad, New Delhi and Gurgaon provide numerous Data Architect jobs with a good pay. According to payscale.com data, Data Architects employed at Hyderabad are paid 18 per cent higher than the national average.
Time Pressure
Likely
A Data Architect works a minimum of 40 hours per week. His or her work hours may get extended to meet deadlines during critical phases of the project.
Overtime Details
A Data Architect may often be required to work extended hours since the role comes up with deadlines. He or she has to ensure completion of the task in the given time frame for that a Data Architect may require to put in extra hours than usual.
Weekly Hours of Work
Min 35 Hours
A Data Architect works a minimum of 35 to 40 hours per week. He or she gets fixed off on weekends and other holidays.
How to become a Data Architect?
Steps to become a Data Architect
In India, aspiring to become a Data Architect is an achievable goal, even after completing your 12th grade. This section of the article explores the journey of how to become a Data Architect in India, outlining the steps and career path. This section will also answer the most asked question, "how to become data architect after 12th grade?". Starting from the basics after high school, this guide on how to become a data architect in India will guide you through the educational routes, skills, and experiences needed to thrive in this evolving and exciting field.
What are the skills and qualities required to become a/an Data Architect?
Are you searching for Data Architect skills? We have provided below details of Data Architect skills. These skills are crucial for aspirants to pursue a full-time career and remain competent in the industry.
Programming Skills: The role of Data Architect demands managing and organising data into the databases. For that purpose, he or she must possess knowledge of data -oriented computer programming languages such as SQL and XML.
Communication Skills: A Data Architect must be able to effectively communicate with other professionals to remain efficient in their work environment. He or she is a part of a larger team in the IT department. He or she is required to explain complex technical concepts to non-technical staff.
Analytical Skills: A Data Architect career demands strong analytical skills to determine right approaches and methods to make the maximum use of human resources and time.
Teamwork: A career as Data Architect comes with the requirement to collaborate with Data Engineers. He or she is required to direct and advise Data Modelers, Database Administrators and junior architects.
Business Sense: The role of Data Architect demands an understanding of the functioning of industry and its business where he or she works. He or she must possess knowledge of how data is collected, analysed and utilised. A Data Architect is required to maintain flexibility concerning big data developments.
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Which certifications and internships can be helpful in becoming Data Architect?
Aspirants may get themselves enrolled in below mentioned Data Architect certification courses. These courses help them to upgrade their skills and knowledge to opt for a career as Data Architect.
Internship Availability
Aspirants who want to pursue a career as Data Architect are required to give a start to his or her career by opting relevant internship. A Data Architect internship plays a crucial role in acquiring a full-time entry-level position. A Data Architect Intern is assigned with several responsibilities. It includes reviewing database architecture, data flow and design. He or she may be required to propose improvements to increase data integrity. A Data Architect Intern may be required to propose modifications to existing apps and database schemas in order to improve and refine it. He or she collaborates with internal and external data science teams.
Career Path Progression for Data Architect
Junior Data Architect: A Junior Data Architect work responsibilities include designing, advising and planning solutions for data infrastructure, data modelling, data integration and metadata. He or she creates and maintains data infrastructure for employees.
Senior Data Architect: The role of Senior Data Architect comes with the responsibility of designing data infrastructure in order to extract and organise data for authorised individuals to access. He or she identifies the internal and external data sources of the organisation and collaborates with department heads in order to determine data storage and organisational needs.
Also read: A career as Cloud Engineer
Data Architect Jobs and Salaries
Junior Data Architect
Contractual/Permanent
- Average Salary 79167
Job Description
An entry-level Data Architect is responsible for designing, structuring and maintaining the data in the database. He or she ensures accuracy and accessibility of data to authorised employees of the organisation.
Salary Description
The salary of an entry-level Data Architect varies depending on candidates’ skills and academic qualifications. The average Junior Data Architect salary is Rs. 950000 per annum in India.
(Source: payscale.com)
Senior Data Architect
Contractual/Permanent
- Average Salary 184552
Job Description
A Senior Data Architect role involves creating data models and logical workflows. He or she optimises databases, ETL solutions and manages automatised data flow. Senior Data Architect supervises database content and ensures the high quality of data.
Salary Description
The salary of senior-level experienced Data Architect varies depending on numerous factors including skills, prior work experience, size and structure of the employing organisation and others. The average Senior Data Architect salary is Rs. 2214621 per annum in India.
(Source: payscale.com)
What is the job outlook for Data Architect?
Data exists almost everywhere. With the rise in the global population, it is also rising with more and more data everyday in the field of data science. There is an expected Data Architect job growth of 9 per cent between the year 2018 to 2028. It is higher than the average of all other occupations. Data Architects with expertise in Apache Hadoop are paid the highest in the industry. They may expect much higher salaries with 10 years of work experience.
Frequently Asked Questions for Data Architect
Que. What is the average salary of a Data Architect?
Ans.The average salary of a Data Architect in India is Rs. 2034133 per annum, according to payscale.com.
Que. What is the minimum required education to become a Data Architect?
Ans.The minimum required qualification to become a Data Architect is successful completion of an undergraduate degree in computer science or related specialisation.
Que. What is the average fee of B.Tech. in computer science engineering?
Ans.The average fee of B.Tech. in computer science engineering ranges between Rs. 200,000 to Rs. 1,000,000.
Que. How long to become a Data Architect?
Ans.The timeline to become a data architect can vary based on your educational background, work experience, and the path you choose. Typically, it involves earning a bachelor's degree in a related field like computer science or information technology, gaining several years of experience in data-related roles, and possibly obtaining relevant certifications. This journey can take anywhere from 5 to 10 years or more.
Que. What does a data architect do?
Ans.A data architect plays a crucial role in designing and managing an organization's data infrastructure. They are responsible for creating data models, ensuring data integrity, optimizing data storage and retrieval, and aligning data systems with the organization's strategic goals. They work closely with data engineers, analysts, and business stakeholders to build scalable and efficient data solutions.
Que. Is data architect a good career?
Ans.Data architecture can be a rewarding career choice for those passionate about data and technology. It offers strong job prospects and competitive salaries, given the increasing importance of data in decision-making across industries. However, it requires continuous learning to stay updated with evolving technologies and practices in data management and analytics. Success in this field often depends on your ability to adapt to the changing data landscape and your passion for solving complex data-related challenges.
Que. What are top Data Architect colleges?
Ans.Some top colleges for Data Architecture studies include IIT Bombay, known for its strong technical programmes and research opportunities. MIT Manipal, COEP Pune, VIT Vellore, and SRM University Chennai are also reputable institutions offering quality education in this field, providing students with a solid foundation in data architecture and related disciplines. It's advisable to research each college's specific programmes, faculty expertise, and research facilities to determine the best fit for your academic and career goals.
Que. What are top Data Architect recruiters?
Ans.Some well-known companies that frequently hire Data Architects include tech giants like Google, Amazon, and Microsoft, as well as major financial institutions such as JPMorgan Chase and Goldman Sachs. Additionally, consulting firms like Deloitte and Accenture, as well as leading healthcare organizations and e-commerce companies, often seek experienced Data Architects to design and manage their data infrastructure. It's essential for candidates to research job listings in their desired field and location to identify the most prominent recruiters in their area of interest.
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Did you know?
Fact 1
On an average, less than 0.5 percent data is analysed among all the created data
Fact 2
Around 75 per cent Data Experts use python language for Data Science work
Fact 3
Salaries offered to Data Science professionals are higher than any other tech professionals
Fact 4
Data Science is utilised in all industries from art to healthcare
Fact 5
Public Data contributes to 41 per cent data in the data science pipelines
