Hey, Ninjas, you know that the database management system blueprint is required for which there are engineers named Data Architects. It creates a strategy to synchronize, protect, and maintain them.
In this blog, we will discuss the roles and responsibilities of Data Architects in deep detail. Let’s start going!
Who is a Data Architect?
A data architect is a member of the IT industry who lays out the guidelines for the technologies, models, and policies used to gather, organize, store, and access corporate data. When it comes to applying high-level business intelligence relationships and data policies to the design of particular databases, the positions previously mentioned are responsible for this. Data architects, however, focus on these relationships and policies.
Data architects work with various technologies, such as databases, data warehouses, and big data platforms, and often have a strong background in computer science and programming. They may also be involved in developing data governance policies and procedures.
What is the Domain of a Data Architect?
Data management, from collection through transformation, distribution, and consumption, is described by a data architecture. It establishes the guidelines for how data should be stored and accessed. It serves as the basis for data processing operations and AI applications.
Contemporary data architectures frequently use cloud platforms to manage and process data. While sometimes more expensive, its compute scalability allows for the quick completion of crucial data processing tasks. The storage scalability aids in managing increasing data volumes and ensuring that all pertinent data is accessible to enhance the effectiveness of developing AI applications.
What are the Responsibilities of a Data Architect?
The responsibilities of a Data Architect are-
1. Transforming business requirements into technical specifications for data streams, integrations, transformations, databases, and data warehouses.
2. Creating a reference architecture that others can use as a model to create and improve data systems.
3. Establishing the framework, standards, and guiding principles for data architecture, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees.
How to Become Data Architect?
In this part of “Roles and Responsibilities of Data Architect,” we will see how to become Data Architect.
1. Obtain a bachelor's degree in a field related to computer science or data management. You will gain a foundation in database systems, data modeling, and programming.
2. Gain experience working with data. You can do this through internships, part-time jobs, or freelance work. Find opportunities to work with large and complex data sets and experience with data visualization tools and SQL.
3. Develop your technical skills. In addition to your foundational knowledge, you'll need to be proficient in various technical skills, including data modeling, data warehousing, and data integration.
4. Consider earning a master's degree in a related field. This can give you the advanced skills and knowledge you need to succeed as a data architect while also helping you stand out in a crowded job market.
5. Look for certifications from your profession. By obtaining several professional certifications, such as the CDMP or the CDE, you can demonstrate your knowledge of the field and commitment to it.
6. Build your network. Networking with other professionals in the field can help you learn about job openings and get your foot in the door. Consider joining professional organizations and attending conferences and meetups to meet other data professionals.
How can Data Architects improve the Company and Society?
In this part of “Roles and Responsibilities of Data Architect,” we will look at how Data Architects can improve the company and society in the following ways:
1. Line Organization: Key team managers and leaders are frequently reached out to by data architects. Business requirements play a significant role in application design in many organizations because of the relationship between business requirements, applications, and data.
2. Chief Information Officer (CIO): Data architects will collaborate with CIOs and their staff to communicate the needs for line organizational data collection and usage and to match those needs with the available database and application technologies.
3. Other Roles Involving Data: Data engineers, database developers, specialists, database administrators, and application development teams turn high-level data models and management policies into specific applications, database models, and implementations.
What is the Salary of a Data Architect?
The average salary of a Data Architect based on experience is given below:-
Years of Experience
Salary
Entry Level (< 1 yrs)
₹342,363/yr
Early Career (1-4 yrs)
₹422,408/yr
Mid-Career (5-9 yrs)
₹690,734/yr
Experienced (>10 yrs)
₹942,653 to ₹1,750,000/yr
The base salary for data architects is typically around USD 119,000 per year. Salary increases to USD 200,000 or more could be achieved through advancement into management and EA positions. Earnings from working for vendors, integrators, or consulting firms can reach USD 250,000 annually.
*The salary is subject to change according to the company applied.*
Skills of Data Architect
Data architects must possess the following technical knowledge in particular:
1. The best ways to use different database models.
2. The fundamentals of data management, database access, and management.
3. The IT environment of the company, including its use of database products, APIs, query languages, and public cloud computing.
Data architects need to be knowledgeable about business-level skills:
1. The process of converting organizational needs and procedures into data collection and uses guidelines.
2. A thorough understanding of their company's current business practices and plans for changing those practices and goals. If time is available, this can be learned while working.
3. Applying enterprise architecture principles to converting business processes into IT applications.
Future Picture of Data Architect
In the upcoming years, as organizations increasingly rely on data to guide operational and business decisions, the role of a data architect will develop and become more crucial.
Some potential future focus areas for data architects include:-
1. Big data: As organizations generate and collect more data from various sources, data architects must be skilled in designing and managing big data systems and technologies, such as Hadoop and Spark.
2. Data lakes: Data lakes are centralized, scalable repositories allowing data engineers and scientists to store structured and unstructured data at any scale. Data architects may design and manage data lakes to support data-driven decision-making.
3. Cloud computing: Many businesses are migrating their data and computing power to the cloud. Data architects must be familiar with cloud computing technologies and the creation and administration of cloud-based data architectures.
4. Data governance and compliance: The establishment and maintenance of efficient data governance and compliance practices, including data privacy and security, will probably require the assistance of data architects.
Top Companies for the Role of Data Architect
Some companies hiring for the Data Architect role are Deloitte, IBM, TCS, Wipro, Infosys, Tech Mahindra, Amazon, Apple, Meta, Microsoft, Citi, Fiserv, JP Morgan, HP, etc.
Entry-level IT positions in programming or database administration can help you gain practical experience.
Frequently Asked Questions
What distinguishes a data analyst from a data architect?
The infrastructure that stores and transports the data is of interest to data architects and engineers. The goal of the data analyst is to extract descriptive information from the available data.
What makes a good data architect?
Good data architects are well-versed in databases, the cloud, and the programs and applications those databases use. They exhibit a dedication to lifelong learning and have a solid understanding of data modeling, including conceptualization and database optimization.
What are the key data architecture principles?
The operating guidelines for gathering, integrating, using, and managing data assets are governed by a set of principles known as data architecture.
What components makeup data architecture?
A data architecture describes the layout of a company's data infrastructure and systems. The elements used to store, process, and access data include logical and physical parts.
Is there a need for data architects?
One of the most important and promising roles in data science is that of the data architect. Between 2018 and 2028, there will be a 9% increase in demand for data architects, which is faster than the average for all occupations.
Conclusion
Congratulations on finishing the blog! We have discussed the roles and responsibilities of Data architects. We further discussed the domain and skills required to become Data Architect.
This blog has helped you enhance your knowledge of the roles and responsibilities of Data architects. Do not stop learning! We recommend you read some of our related roles and responsibilities of Data Architect articles:-
But you have just started your learning process and are looking for questions from tech giants like Amazon, Microsoft, Uber, etc. For placement preparations, you must look at the problems, interview experiences, and interview bundles.
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