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Data architects are becoming increasingly relevant in nearly every industry. They act as a bridge connecting business objectives and technology. A data architect develops the blueprints that organizations use for their data management systems, just like conventional architects produce the blueprints for the framework used to build structures.
However, what is data architecture, and what is the role of a data architect? In this data architect career guide created by All Assignment Help, we will discuss how you can launch your career as a data architect. We will cover everything from key roles and responsibilities to key skills, salary expectations, and more.
Who Is a Data Architect?
A data architect is an IT professional who plans, develops, implements, and supervises an organization’s data architecture. They create and manage data frameworks, models, and rules to ensure that data is reliable, secure, and accessible. Moreover, they also make databases quicker and more efficient by understanding the entire data requirements.
Since data is used by practically every business out there, data architects can find a job in almost any sector, including government, technology, entertainment, healthcare, and finance. However, they must be familiar with data structures to do well in their job. A student who is aspiring to become one must study data structure along with data architecture, as they are closely related to each other. Also, there are data structure assignment help services available online where you can learn this concept under the guidance of an expert.
Read Here: What You Need to Know About Data Security
Data Architect Roles and Responsibilities
Data architects play a vital role in making data accessible and actionable, enhancing performance, coordinating cloud or hybrid environment migrations, and ensuring that the design complies with regulatory standards. Not only this, they also have other roles and responsibilities depending on the business and sector, which include the following:
- Determining the internal and external sources of data and developing a data management strategy in line with the organization’s data architecture.
- Coordination and cooperation with vendors, stakeholders, and cross-functional teams to ensure the enterprise data system runs well.
- Reviewing, organizing, and establishing the foundation for data architecture, encompassing security, reference data, metadata, and master data.
- Developing and carrying out data management protocols.
- Big data solution planning and implementation with Hadoop and other technologies. Managing a Hadoop solution over its whole lifecycle is part of a data architect’s role and responsibilities.
- Establishing and controlling the information flow and distribution inside the organization.
- Analyzing the functioning of the data management system continuously, making changes as needed, and quickly alerting the stakeholders of any breaches or vulnerabilities.
The data architect is still concerned with the overall business, particularly with business intelligence, and is still focused on strategy and design. Being a vast subject, students need to understand all the facets of data architecture to make a successful career in it. Taking online assignment help from subject matter experts could make your learning journey smoother and easier in the future.
Skills Needed to Become a Data Architect
Data architects must possess data management skills, be savvy in mathematics and computer science, and be able to critically assess and present data based on statistics. Not every student can be proficient in computer science, mathematics, and data management equally. This is where assignment help websites come into play, where you can easily get computer science assignment help, help with mathematics, and data management to become better at these skills and perform better academically.
Now, let’s learn about a few of the key skills needed to become a data architect:
Technical Skills
- Programming skills in Python, C/C++, Java, and Perl.
- Proficiency in machine learning, data mining, and visualization.
- Knowledge of machine learning, natural language processing, and predictive modelling.
- Skill in SQL programming, database management, and data modeling and design.
Soft Skills
- Agile methodologies, critical thinking, problem-solving skills, and verbal and written communication skills.
- Effective communication skills and leadership skills.
- Work together in teams and align business goals with data strategy.
- Strong presentation skills are necessary since data architects often convey their strategies and approaches to different types of audiences.
Additionally, a skilled data architect should also possess a blend of creativity, curiosity, and moral thinking to ensure the ethical and reliable use of data in an organization.
How to Become a Data Architect?
Like many other areas of data science, there isn’t a single route to becoming a data architect. Instead, it’s about getting expertise and developing skills. Here is your data architect career guide to get you started if you are interested in making a career in this field:
Get Your Undergraduate Degree
Get a bachelor’s degree in computer science, computer engineering, information technology, or a similar discipline. However, consider earning a degree in data science or computer science to begin developing the skills you will need in the workplace.
Furthermore, you need to successfully finish coursework in operating systems, web development, computer programming, systems analysis, and technology architecture. You can also enroll in an online bachelor’s degree program to earn a degree from your comfort zone. Also, if you need any additional assistance during your course of study, you can reach out to the online class help service to take charge of your online classes and help you ace the degree program.
Start an Internship
Usually, data architecture is not an entry-level position. As a result, you should start gaining experience as soon as possible to get ready for this position. Find internships in IT-related industries that will allow you to develop your skills in:
- Application architecture
- Network management
- Performance management
Gain Work Experience
Again, “data architect” is likely not going to be your first job title. To become a data architect, you will probably need to have at least three to five years of work experience with a track record of successful projects. Hence, apply to entry-level positions in database administration or programming. Also, continue to develop your database design, development, administration, modeling, and warehousing skills.
Earn Data Architect Certification
After gaining work experience, you might want to improve your resume, and this can be achieved by earning a professional certification. You can think about these data architect certifications:
- Certified Data Management Professional (CDMP)
- AWS Certified Data Analytics – Specialty
- Google Professional Data Engineer Certification
- Certified Data Professional
- IBM Certified Data Architect – Big Data
Some certification program requires you to take an online exam to get certified. Hence, it is a must for you to score the highest in the online exam. If you find yourself struggling while preparing for your online exams or don’t want to risk your grades, you can hire an online class taker by asking, please take my online exam for me. An expert in the subject will take your exam online and help you raise your grades and performance in your online certification program.
Get Hired as a Data Architect
Now, after earning sufficient experience and qualification, you can start applying for data architect positions. Look for jobs in banking, healthcare, insurance, educational institutions, and other businesses that handle and assess large amounts of consumer data. Be open to fresh proposals, ideas, and projects from organizations that align with your goals of becoming a data architect.
Although being a data architect is not simple, you might be able to get started if you have the required education, certification, and experience.
Data Architect Salary Expectations
Many of you must be wondering, “Is data architect a good career?” Yes, it is! This table provides an overview of data architect salaries by country and experience level, and helps you to make a career choice for yourself. However, a data architect’s salary may vary by city, company, and skill level.
| Experience Level | USA (USD/year) | UK (GBP/year) | Australia (AUD/year) |
| Entry-Level (0-2 yrs) | $80,000 – $100,000 | £40,000 – £55,000 | A$90,000 – A$110,000 |
| Mid-Level (3-5 yrs) | $100,000 – $130,000 | £55,000 – £75,000 | A$110,000 – A$140,000 |
| Senior-Level (6+ yrs) | $130,000 – $160,000+ | £75,000 – £100,000+ | A$140,000 – A$180,000+ |
| Freelance/Contract | $60 – $120/hour | £45 – £80/hour | A$70 – A$100/hour |
Also, there are prominent data architecture job titles, together with the average salary for each:
- BI architect: $86,000-$160,000
- Data engineer: $69,000-$138,000
- Data warehouse architect: $78,000-$154,000
- Database architect: $85,000-$181,000
- Information architect: $75,000-$162,000
- Solutions architect: $82,000-$174,000
There is a high need for data architects. According to Statistics, there were 141,900 data architect jobs in the US in 2023. The profession is expected to expand by 9% between 2023 and 2033, which is faster than the average for all other US occupations.
Also Read: A Guide to Basic Data Science Interview Questions
Conclusion
The huge amount of data generated daily makes data architects a fantastic and rapidly growing profession. It is quite popular and offers a wide range of professional development opportunities. Also, it is a very competitive position with a good salary package. Hence, the market for data architecture will keep expanding as long as technology continues to advance and take over our lives.
FAQs
Does a data architect need to know programming?
Yes. Data architects need to know programming languages like Python and Java to help in the development of data management systems.
Is data architect a good career?
Yes. A career as a data architect is often viewed as being beneficial, as there is a high level of work satisfaction, attractive pay, and great demand. It plays a vital role in the data-driven world of today and is predicted to keep expanding in the near future.
Is AI able to take the role of data architects?
While generative AI is a revolutionary tool that enhances architects’ skills, it is not an alternative for them. It expands the architect’s skill set, allowing for better decision-making, increasing innovation, and expanding the realm of design possibilities.