10 Best Data Engineer Certifications To Uplift Your Data Architecture Career

10 min read

Hello Readers! Roll up your sleeves and get ready to step into the dynamic world of data engineering. Data engineering is evolving rapidly, from designing and building systems to collecting and analyzing big data, giving room for many job opportunities. However, it is necessary to have cutting-edge skill sets to stand out in the competition and to land your dream job. Data Engineer certifications make an easy way to start an exhilarating career.

With so many data engineer certifications, finding the right one must be daunting. Whether you’re just starting your career or want to take it to the next level, this blog will give you complete insights on the top certifications in the data engineering domain and help you make an informed decision that is best for your career. 

Best Data Engineer Certification to Forge Your Career

Just in case you’re confused between many certifications and aren’t sure which one to get, the below top data engineer certifications are written for your better understanding.

Google Professional Data Engineer

Earning Google Professional Data Engineer will validate your skill as a data engineer that can be able to design, build, operationalize, secure, and monitor data processing systems. You can also able to leverage, deploy, and continuously train pre-existing machine learning models.z

AWS Certified Data Analytics - Specialty

Aws Certified Data Analytics  is one of the best and leading data engineering certifications for professionals with years of data analytics experience. The certification will increase and develop the latest skills in implementing cloud initiatives. You can also have years of experience in working with AWS services to design, build, secure, and maintain data analytics solutions.

IBM Certified Solution Architect -- Cloud Pak for Data v4.x

IBM Cerified Solution Architect will validate your skills in designing, planning, and architecting data and AI solution in a hybrid working environment. Having this certification on hand, you can build expertise in leading and guiding the implementation and operationalization of a solution that includes data governance, analytics, and machine learning.

Cloudera Certified Professional (CCP) Data Engineer

The experience open-source developer with CCP data engineer certification can perform core tasks that are required to ingest, transform, analyze, and store data in Cloudera’s CDH environment. Moreover, candidates appearing in the exam have in-depth experience developing data engineering solutions. 

Data Science Council of America (DASCA) Associate Big Data Engineer - ABDE

If you want to get the hottest and trending certification in big data engineering and data application development, then DASCA Associate Big Data Engineer should be your choice. This certification will build your proficiency and potential for using vendor-neutral and cross-platform tools, platforms, languages, and techniques in engineering and developing big data analytics applications.

Databricks Certified Data Engineer Associate

Databricks Certified Data Engineer Associate is fit for those who have experience in using the Databricks Lakehouse platform for completing and managing data engineering tasks. It will also improve your understanding of the Lakehouse platform, its functionalities, competencies, and architecture. Individuals who earn this certification have strong competencies in completing basic data engineering tasks using Databricks and its tools.

SAS Certified Data Integration Developer

The next best data engineering certification is SAS-Certified Data Integration Developer, which proves a candidate’s ability to apply the skills and knowledge crucial for data integration development in the SAS environment.

Microsoft Certified: Azure Data Engineer Associate

When we’re discussing other data engineering certifications, how we cannot talk about the Microsoft-certified Azure data engineer associate? The certification showcases your subject matter expertise in integrating, transforming, and combining data from various structured, streaming, and unstructured data systems into a streamlined plan for building analytics solutions. After getting this certification, you will develop skills such as designing and implementing data storage, developing data processing, and the ability to monitor, secure, and optimize data storage and processing.

Read more : Azure Data Engineering Certification

Arcitura Certified Big Data Architect (BDSCP)

The certification will demonstrate your proficiency in the design, implementation, and integration of big data solutions with IT enterprise or cloud-based environments. Big Data consists of several modules including Fundamental Big Data, Big Data Analysis & Technology Concepts, Fundamental Big Data Architecture, Advanced Big Data Architecture, and Big Data Architecture Lab. The certification will intensify your knowledge of big data and the related concept so that you can effectively manage big data solutions.

SnowPro Advanced: Data Scientist

Last but not least certification of our top 10 data engineering certifications is SnowPro advanced data scientist. This certification validates your ability to apply advanced skills and comprehensive knowledge of data science principles, tools, and methodologies using Snowflake.

Which Data Engineer Certification is Right for You? 4 Points to Consider

Choosing the right data engineer certification is crucial. You cannot JUST select a certification and appear in it, there are significant factors that you must consider while obtaining any certification.

Align with Your Job Role and Previous Experience

The majority of the data engineer certifications are role-based (vendor specific) and designed for specific architecture platforms. While choosing a certification, ensure it will carry your skills to an advanced level and matches your current experience. For instance, if you’re working on an Azure platform, pursuing a certification in AWS is of no use – unless you switch your domain. However, if you’re working on a general platform that isn’t specific, you can attain any of the certifications. 

Complement Your Current Knowledge Level

The second thing you need to consider is whether the certification you choose matches your knowledge level or not. You cannot take associate-level certification, having knowledge and experience for foundational certification and vice versa. It is important to recognize the certification level and then pursue it. 

The associate certification requires a maximum of 1-2 years of experience, professional certification demand 3-4 years of previous experience while for expert-level certification, you must have more than 5 years of experience. 

Data Engineering Certifications Level
Google Professional Data Engineer Professional
AWS Certified Data Analytics - Specialty Expert/Specialty
IBM Certified Solution Architect -- Cloud Pak for Data v4.x Professional
Cloudera Certified Professional (CCP) Data Engineer Professional
Data Science Council of America (DASCA) Associate Big Data Engineer Intermediate
Databricks Certified Data Engineer Associate Intermediate
AS Certified Data Integration Developer Intermediate
Microsoft Certified: Azure Data Engineer Associate Intermediate
SnowPro Advanced: Data Scientist Expert/Advanced
Arcitura Certified Big Data Architect (BDSCP) Professional

Aid You in Your Career Advancement

Not to sound cliché but the sole purpose of earning a certification shouldn’t be only money. If you’re looking for only money, then you’re going in the wrong direction. Undoubtedly, a certification comes with a lot of benefits, and money is one of them but the main purpose of certification must be that will it enhance your career or not. 

A certification that doesn’t bring the best out of you is of no use. So, when choosing Data Engineering certification ensure that it will aid you in gaining new insights and solidify your skills that will boost your career to the next level.

Cost-effective and Falls Within Your Budget

While gaining a certification, one must determine whether it is falling in your budget or not. Spending million dollars on one certification isn’t worth it. However, if earning this certification gives you a potential hike in salary then give it a go. Always do market research. If you find a certification expensive, try to take the other one that is related to that certification and is cost-effective. We have listed the best 10 data engineer certifications that are cost-effective and reliable. 

Read more: Azure certification cost

Data Engineering Certifications Cost
Google Professional Data Engineer $200
AWS Certified Data Analytics - Specialty $300
IBM Certified Solution Architect -- Cloud Pak for Data v4.x $200
Cloudera Certified Professional (CCP) Data Engineer $330
Data Science Council of America (DASCA) Associate Big Data Engineer $585
Databricks Certified Data Engineer Associate $200
AS Certified Data Integration Developer $180
Microsoft Certified: Azure Data Engineer Associate $165
SnowPro Advanced: Data Scientist $180
Arcitura Certified Big Data Architect (BDSCP) $237

How your Career Will Look Like Having the Best Data Engineer Certification?

Data engineering is the most demanding career and having a certification in it is a game changer. Technological advancement has doubled the opportunities in every IT domain and organizations are embracing professionals with modern skills that streamline their business operations and data effectively. Having a breakthrough in a Data engineering career is crucial because of the doubled-up competition. That’s when you need a certification to stand out from the competition. Here are the significant points that will tell you the worth of having certification and how your career will look like having it on your resume.

Speed Up Your Knowledge Of Industry Standards

Data Engineer certification will make your career promising, allowing you to gain expertise in a wide range of data architecture and big data practices and skills. Preparing for certification will aid you uncover gaps in your existing knowledge, forcing you to relearn the concepts and pace up your knowledge with current industry standards. Putting your knowledge to test helps you to become a better data engineer.

Accelerate A Rewarding Career in Data Architecture

As you know, these certifications help you learn new skills. These certifications measure your skills against industry standards, ensuring that you have important skills any organization needs leading your career to achieve new heights. Certification provides employers with an unbiased opinion of what you already know and proof that you can implement your skills effectively.

Secondly, earning a data engineering credential can increase your job prospect and access to a wide range of job opportunities. According to Indeed, job hiring will grow by nearly 35% in the coming years. 

Increased Salary Prospects

If we look at the salary prospect, it will be of no surprise that data engineering is one of the most highly paid professions. The typical salary of data engineer professionals in the United States is $95,303. Moreover, the salary also depends on your experience, job title, and the type of certification you avail. Below are the salary of the data engineer regarding the best data engineering certifications.

Best Data Engineering Certifications Salary
Google Professional Data Engineer $128,074
AWS Certified Data Analytics - Specialty $134,796
IBM Certified Solution Architect -- Cloud Pak for Data v4.x $120,000
Cloudera Certified Professional (CCP) Data Engineer $128,000
Data Science Council of America (DASCA) Associate Big Data Engineer $125,335
Databricks Certified Data Engineer Associate $128,704
AS Certified Data Integration Developer $111,739
Microsoft Certified: Azure Data Engineer Associate $128,704
SnowPro Advanced: Data Scientist $195,000
Arcitura Certified Big Data Architect (BDSCP) $163,664

If we explore salary according to experience level, the entry-level data engineer with 1-4 years of experience earns an average salary of $90,296. A mid-career data engineer having experience of between 5-9 years earns compensation of $104,800. Moreover, experienced professionals with 10+ years of years have a base salary of $122,235.

Read more: Entry Level Data Analyst Salary


Gone are the days when you depend on sheer luck only and wait for the desired outcome. Nowadays, getting the best opportunity demands a struggle. Till now you must be aware that having a data engineer certification plays a pivotal role in getting you a top-notch opportunity.

Having one of the best data engineer certifications on your side helps you accelerate toward a rewarding career and upkeep your knowledge to the recognized industry standard. So, read this blog, choose among some of the best data engineer or data architect certifications, and uplift your career trajectory.

Frequently Asked Question

Several certifications come in the list of best data engineering and architecture certifications. If you have read the above, you might know the top certifications. If you haven’t read it, give it a read now and choose your certification.

The average salary for Big Data Architect is ₹27,52,733 per year in India.

Without any doubt. A data architect is one of the most profound and highly-paid jobs in the IT industry. Besides this, it opens lucrative career opportunities for you and you will be on an ongoing learning pathway.

Yes. Google provides data engineer certification named Google Cloud Professional Data Engineer Certifications. The certification is one of the top and most renowned in the world of data engineering. 

Some of the top data engineer job roles are given below:

  • Senior Data Engineer – $136,631
  • Data Architect – $145,220
  • Senior Data Scientist – $146, 806
  • Big Data Engineer – $148,635



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