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Details About Data Architect Salary for 2024

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29th Dec, 2023
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    Details About Data Architect Salary for 2024

    As today's world is inclining toward digital space, data is generated each second. This is good news for companies and business entities as this data will be extremely useful in decision-making and improving customer satisfaction. As a result, most companies are transforming into data-driven organizations harnessing the power of big data. Here Data Science becomes relevant as it deals with converting unstructured and messy data into structured data sets for actionable business insights. Data Science is also concerned with analyzing, exploring, and visualizing data, thereby assisting the company's growth. As they say, data is the new wave of the 21st century. Once the raw data is refined and structured, information can turn an entity's losses into profits, startups into MNCs, and lost customers into permanent ones.

    With the top major industries stepping into the online world, data science is becoming less of a buzzword and more of the top domain ruling the future digital world. As long as the data is generated continuously, businesses will always be on the lookout for data science professionals and expert data science teams. Along with the data science roles of a data analyst, data scientist, AI, and ML engineer, business analyst, etc, data architect is also one of the top roles in the data science field. Data architects come into the list of well-paid professionals and are most sought after by top companies across various industries. 

    Who is a Data Architect?

    Due to the post-covid effect, most businesses switched their operations to online mode. This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. Data architects provide the correct information at the right time for the right group of authorized persons. They will define how data should be stored, consumed, integrated, and managed by various data entities and IT systems. Most data architect professionals get handsome database architect salary packages based on their certifications. Grab the top job positions in MNCs with this Data Science Course. The best way to become a professional architect is to grab the best online course, undergo training, and get certified, all in your comfort.  

    Data architect manages the organizational data where a smooth way of data usage and data security is guaranteed. Data architecture minimizes the risk of chaos likely to be created by the unavailability of data at the right time. Overall, a data architect is responsible for aligning the company's data assets with the defined data architecture.

    An Overview of Data Architect Salary in 2024

    As one of the top roles in data science, data architect jobs are not restricted to one particular domain like IT or finance. Data architects can now prove their expertise across various industries, such as healthcare, hospitality, banking, logistics, travel, gaming, aerospace, and more. Choose your favorite industry type that is aligned with your career goals.    

    The data architect's salary differs based on various influential factors like location of the job, job position, type of company, experience, and more. According to Glassdoor, it is estimated that as of 2024, the average base pay for a data architect is $1,65,153 p.a.

    If you are a beginner data architect in the United States, the starting big data architect salary can be $89,000 per annum, which can go as high as $2,00,000 per year for a professional data architect.  The average annual data solutions architect salary is $208,539.  

    1. Data Architect Salary: Based on Experience

    If you are a novice architect, your senior data architect salary can differ according to the company size and the location of your job. One vital factor affecting your salary package is your experience: more experience, expertise, and handsome data warehouse architect salary packages. Whether you are looking to crack a job position in your dream company or aspiring for a promotion, this is the quick and right fix to boost your career. A Data Science Boot Camp is all you need to become a skilled data architect and expert professional in your relevant job area within less time. This certification increases your relevant knowledge and data architect skills and dramatically improve your chances of hiring or promotion.  

    Based on the experience level, the data architect's salary is given in the below table. According to AmbitionBox, these are data architect salaries for all three experience levels.

    Experience Level Annual salary (in ₹) 
    Beginner$120,341
    Intermediate$143,752
    Advanced or senior architect$180,000

    2. Data Architect Salary: Based on Location

    Your job location plays an important role in deciding your salary package. The same data architect can earn two different cloud data architect salary paychecks in different locations. Also, based on the concerned country's policies and business rules, a database architect's salarywidely differs.

    The salary figures might be slightly different compared to other sources. However, you will find the approximate salary values that help you in your data architect journey. Here, let's look at the average base salary of a data architect in different countries. These countries are quite popular for data architect jobs and data science roles. As per Salary Expert, these are the big data architect salary estimates for 2024 in various country locations:

    Country Average Base Salary (per year) 
    India₹ 2,000,000
    United States$143,752
    United Kingdom£72,500
    Australia $136,500
    Canada$101,512
    Singapore$112,633

    Data architect salary

    Factors Affecting Data Architect Salary

    Here are some of the influential factors that affect data warehouse architect salaries. These factors will help you understand your enterprise data architect salary package and structure more clearly.

    1. Location

    Your job location will decide your salary bracket. So, to gain more opportunities and international work exposure, it is ideal to work in better job locations like the metro and megacities. However, you should also consider other factors along with the location.

    For example, the cloud data architect's salaryin USA comes to around $143,752, while the same data architect enjoys an average of salary £72,500 in UK.

    2. Industry/Employer/Company

    As already discussed, data architects have demand across various industries and are not restricted to IT or finance sectors. The data architect working in the pharma sector can get paid differently compared to the same data architect working in the automobile or banking industry. Also, your salary can be affected based on your company policies and industry-specific guidelines.  

    The average salary of data architects in IBM is $1,26,864 and those at Tata Consultancy Services is $93,965. 

    3. Experience

    Although fresh data architect candidates get a decent pay package, the enterprise data architect salary keeps increasing along with your experience and performance. The early career data architect with 1-4 years of experience gets an average total compensation of $120,341. It's all about time and hard work as you can get more exposure to your work and gain experience over time. With 5-9 years of experience in your mid-career, you will earn around $120,341. The senior data architect salary with 10-19 years plus years of experience can reach or cross the salary mark of $180,000.  

    4. Demand and Supply

    Data science is one of the promising careers in 2024 and beyond. The top roles of a data science graduate include data scientist, data engineer, data analyst, and data architect. As big data is taking over the digital world and becoming one of the significant driving forces for converting companies into data-driven organizations, there is nowhere seen in the decline in demand for data architect professionals.  

    As the most in-demand country for data architect experts in the US, especially in New York, other countries like India, Australia, the UK, and Singapore also witnessed a substantial increase in demand for data architect professionals. Data architects are more in-demand at present than ever and continue to be the most sought professionals in the data science field. It is estimated that 16% annual job growth from 2020-2028 can be seen in the data science field.  

    5. Certifications

    Acquiring a certification increases your chances of hiring or promotion multifold. Skills alone are not enough to compete in this cutthroat competition. Pursuing a suitable course that can boost your career and can take you back on track is essential. Companies prefer certified data architect professionals over non-certified individuals, as the certification acknowledges your skills.

    So, possessing in-demand skills along with a valuable data science certification can accelerate your career like never before. Today, getting a certification is easier due to the rise in digital education and online courses. You can learn at your own pace in the online certification courses and get trained and certified at your comfort. Check before you get enrolled in any course if it provides certification, post-training support, job support, and other essential details. As programming skills are most needed in data architecture, you can get started with python, one of the top 10 programming languages in the world.

    6. Skills

    As the certification is significant, skills are the one that matters the most it. A legitimate certificate with obtaining zero skills will only lead to unwanted situations in your work career. Both the valid certification and real in-demand skills matter the most for a fruitful data science career.  

    You must possess top in-demand data science skills that always keep you job-ready. Top skills such as the ability to wrangle massive data sets, knowledge of handling popular data science tools, building predictive models, programming and design skills, manipulating and analyzing data, visualization skills, and many more are required to earn an attractive salary and to stand out from the crowd. Along with these skills, soft skills like communication and leadership are essential for a data architect as you will work with other IT teams and should communicate with shareholders.

    How To Improve Data Architect Salary?

    There are some factors that you can take control of and work on to earn attractive data architect salary packages or get promotions early. These factors include:

    1. Skills

    Top companies always prefer data architect professionals with in-demand skills and excellent technical knowledge. Real skills show the true picture of your expertise. Even in the interview process, you can find skill testing where your skills are tested for accuracy and proficiency. Here are some of the most in-demand skills to acquire as a data architect in 2024:  

    • Programming skills like Python skills and knowledge of programming languages such as Java, C, Pearl, etc 
    • Basic skills such as applied mathematics and statistics
    • Soft skills like communication, teamwork, and leadership 
    • Creative problem-solving ability 
    • Ability to use data mining and data modeling tools
    • Data manipulation, visualization, and data migration 
    • Agile, Scrum, and ERP techniques
    • Hadoop technologies like MapReduce, Hive, and Pig  
    • Ability to create robust predictive models with advanced statistics  
    • Analysis of Variance (ANOVA)
    • Evaluating model parameters  
    • Building linear regression models

    2. Certifications

    Data science certifications come in a wide range, and you should choose the course type based on your career objectives. Various data science courses such as data science with python certification, data science Bootcamp, SQL for data analytics courses, machine learning with python, and many more are available for improving your knowledge and expertise. Not only can a bachelor's degree candidate pursue data science courses, but also data science employees, Ai and ML engineers, product managers, and graduates from any discipline can get a data science certification.  Some certifications for Data Architects are: 

    • IBM Certified Solution Architect -- Data Warehouse V1 
    • IBM Certified Solution Architect -- Cloud Pak for Data v4.x 
    • Arcitura Certified Big Data Architect 

    3. Degrees

    To become a data architect, the least qualification is a bachelor's degree in computer science, computer engineering, or any related field. However, a data architect's salary increases when the candidate possesses a master's degree along with years of experience. Fresh graduates can also become data architects by joining internships, acquiring data science certifications, and learning in-demand skills.  

    4. Experience

    As time passes, you will gain much work exposure and get to deal with international clients and work globally. With time, patience, dedication, and hard work, one can earn more salary and recognition as a data architect professional. 

    Why are Data Architects Paid So Much?

    As data architects are responsible for the smooth functioning of a company by providing the necessary data at the correct time, they play a predominant role in the data science team. Big data is the future of the digital world, and data architects and data science experts manage the future digital world.  

    The whole organization's data will be in the hands of a data architect, and the data storage plan is also managed by an architect professional. Since the data architect role is much more responsible and significant for managing the company's personal and other data, data architects are paid handsome salary packages as they deserve for their unparalleled contribution to the data science field.  

    Conclusion

    These are the trends, statistics, and latest information related to the data architect salary. Now you know how to interpret your salary structure as a data architect with the influential factors stated above. Usually, data architects handle huge sets of data in large organizations and play a significant role in the data science team. Get ready for the career of the future, data science now with the exceptional and next-level Data Science with Python from Knowledgehut, your top online course provider.

    Frequently Asked Questions (FAQs)

    1What are Data Architects?

    Data architects are the professionals who do all the tasks related to data management in an organization. They gather the data set storage, retrieval, and updating requirements to ensure the team can access the required data sets conveniently. 

    2Is Data Architect a well-paid job?

    Yes. If you have relevant experience and have done some certification in the field, you have a higher chance of getting a lucrative data solutions architect salary. 

    3What is the salary of a Data Architect with no experience?

    As a beginner, a data architect can expect to get approximately $120,341. However, it can also vary depending on your expertise level, the location of your company, and the certification course you have completed to learn the skill. 

    4Does Data Architect have a promising future?

    As almost every organization is moving its operations online and switching to cloud networks for smoother functioning, there will be a constant need for a data architect. These organizations need the experts to manage and store data for various purposes, and that is how you can say that a data architect has a safe and sound future in the job market. 

    Profile

    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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