Databricks Certifications In 2024: The Complete Guide

I’ve heard it countless times in interviews before: “What do you do to keep ahead of the curve and upskill?” Well, one way I’ve always responded to this question is by obtaining certifications that validate your skills and knowledge. 

Among the many data certifications available today, Databricks certifications have emerged as valuable assets for professionals aiming to enhance their expertise in big data and AI. 

This guide aims to teach you everything you need to know about Databricks certifications, from understanding what they are to how they can boost your career.

What Are Databricks Certifications?

Databricks certifications are industry-recognized credentials that validate your proficiency using Databricks' unified analytics platform. These certifications are designed to test your knowledge and skills in big data processing and machine learning using Databricks.

They testify to your ability to manage and analyze large datasets effectively, which is increasingly important in today's data-driven world.

Components of a Databricks Certification

For those who are completely new to obtaining Databricks certifications, there are typically several steps to pass and obtain the certification. 

In this next section of the article, I will provide a high-level breakdown of the components and process to achieve success:

Step 1: Review the most FAQs about the Databricks certifications

Before diving into the certification process, it's essential to familiarize yourself with the frequently asked questions (FAQs) about Databricks certifications.  This will give you a clearer understanding of what to expect, the prerequisites, and how the certification can benefit your career.

Step 2: Get ready for the exam

This might sound obvious, but it has to be said: preparation is key to passing the Databricks certification exam. 

Even if you’re using the platform regularly in your role, it's still recommended that you prepare additionally ahead of your exam. This involves studying the relevant materials, taking practice exams, and understanding the exam format. 

Databricks offers various resources, including documentation, tutorials, and training courses, to help you prepare thoroughly. DataCamp also offers a comprehensive Introduction to Databricks course.

Step 3: Sign up for the exam

Once you feel prepared, the next step is to sign up for the exam. Databricks exams are typically conducted online, so you can take them from anywhere. 

Ensure you meet all the technical requirements and have a stable internet connection before scheduling your exam.

Step 4: Get your results!

You'll receive your results after completing the exam. If you pass, you'll be awarded the certification, which you can showcase on your resume and professional profiles. 

If not, don’t be discouraged; use the feedback to prepare better and try again!

Are Databricks Certifications Worth It in 2024?

With the rapid advancements in data technology, Databricks skills are increasingly in demand. Many companies across varying industries are partnering with Databricks to innovate, again providing more reasons to obtain Databricks certifications.

If you need further persuading, here’s a list of reasons why obtaining a Databricks certification can be a valuable investment for your career in 2024:

Databricks skills are on the rise

• Increased demand: Companies seek professionals with expertise in big data and AI.
• Cutting-edge technology: Databricks is at the forefront of innovation in data processing and analytics.
• Versatility: Skills learned through Databricks certifications can be applied to various industries.

Databricks certifications are valuable for employers

• Verified expertise: Certifications provide employers with proof of your skills.
• Competitive edge: A Databricks certification can set you apart from other candidates.
• Career advancement: Certified professionals are often considered for promotions and higher responsibilities.

Databricks certifications help diversify your skills

• Broader skill set: Enhance your knowledge in data science, machine learning, and big data.
• Increased employability: A diverse skill set makes you more adaptable to different roles and projects.
• Professional growth: Continuous learning through certifications keeps you updated with the latest industry trends.

What Jobs Can You Get With a Databricks Certification?

A Databricks certification opens doors to various roles in the tech industry. Here are some of the positions you might consider:

Data engineer

• What they do: Design and implement data pipelines. Maintain data infrastructure and optimize data workflows.
• Key skills: SQL, ETL (Extract, Transform, Load), Data warehousing
• Key tools used: Databricks, Apache Spark, Python 
• How Databricks is used: Data Engineers use Databricks to streamline data processing and ensure efficient data flow within an organization. They leverage Databricks’ scalable environment for real-time data processing and big data analytics.
• Expected wage: The average salary for a Data Engineer with Databricks certification ranges from $88,000 to $123,000 annually, depending on experience and location. Additionally, Data Engineers could earn an average of $27,427 from annual bonuses. According to Glassdoor.

Data scientist

• What they do: Analyze and interpret complex data. Develop machine learning models and communicate insights to stakeholders.
• Key skills: Statistical analysis, Machine learning algorithms, Data visualization
• Key tools used: Databricks, R/Python, TensorFlow
• How Databricks is used: Data Scientists utilize Databricks to preprocess data, build and train machine learning models, and perform exploratory data analysis. Databricks' integration with popular ML libraries like TensorFlow and its collaborative environment enhances productivity.
• Expected wage: Data Scientists with a Databricks certification can expect salaries ranging from $91,000 to $141,000 annually. Additionally, They could earn an average of $44,542 per year from annual bonuses. This is based on average cash pay plus average bonuses, according to Glassdoor.

Machine learning engineer

• What they do: Build and deploy machine learning models. Monitor and maintain ML models in production and collaborate with data scientists/engineers.
• Key skills: Programming (Python, R), ML model development, Cloud computing
• Key tools used: Databricks, Apache Spark MLlib, Azure/AWS.
• How Databricks is used: Machine Learning Engineers leverage Databricks to develop scalable machine learning pipelines, perform hyperparameter tuning, and deploy models at scale. Databricks' seamless integration with cloud services allows for robust ML operations.
• Expected wage: The average salary for a Machine Learning Engineer with a Databricks certification is between $98,000 and $148,000 annually. Additionally Machine Learning Engineers could also earn an average of $44,775 additionally per year from annual bonuses. Based on average cash pay plus average bonuses, according to Glassdoor.

Obtaining a Databricks certification not only enhances your technical skills but also positions you for lucrative roles in the tech industry, making you a valuable asset to any data-driven organization.

Databricks Certifications vs Databricks Accreditations

Throughout this article, we have been referencing the term certifications in general, which is true for most technologies. However, Databricks has set up its certifications in a slightly different model. They incorporate certifications and accreditations. 

Certifications are the classic formally assessed certifications we are used to. However, accreditations are widely available, usually free, and not proctored, so they offer an easy entrance to show your skills with Databricks. 

Understanding the difference between certifications and accreditations is important when selecting which to choose:

Databricks certifications

• Definition: Formal credentials awarded after passing an exam
• Purpose: Validate technical skills and knowledge
• Issued by: Databricks
• Validity: Typically valid for a few years, requiring renewal

Databricks accreditations

• Definition: Recognition of specific competencies or completion of training
• Purpose: Acknowledge expertise in particular areas through badges earned
• Issued by: Databricks
• Validity: Often valid indefinitely, but may need updates

Below is a comparison summary of the Databricks certifications vs accreditations.

A List of All Databricks Certifications and Accreditations

Let’s go into each specific certification and accreditation that Databricks offers.

Databricks certifications

Below is a comprehensive list of certifications available by Databricks. These certifications are structured across different levels, including Associate, Professional, and others:

Data Analyst

• What is it: Certification for data analysts to validate their skills in data visualization and analysis using Databricks
• Skills tested: Data analysis, visualization, SQL
• Prerequisites: Basic knowledge of data analysis
• Who is it for: Aspiring data analysts
• Cost: $200
• Exam format: Multiple-choice
• Validity: 2 years
• Where to get started: Databricks Data Analyst

Data Engineer - Associate 

• What is it: Entry-level certification for data engineers
• Skills tested: Data pipeline development, ETL processes
• Prerequisites: Basic knowledge of data engineering
• Who is it for: Aspiring data engineers
• Cost: $200
• Exam format: Multiple-choice
• Validity: 2 years
• Where to get started: Databricks Data Engineer Associate

Data Engineer - Professional

• What is it: Advanced certification for experienced data engineers
• Skills tested: Advanced data pipeline development, complex ETL processes, performance optimization
• Prerequisites: Extensive experience in data engineering
• Who is it for: Experienced data engineers
• Cost: $300
• Exam format: Multiple-choice and hands-on tasks
• Validity: 2 years
• Where to get started: Databricks Data Engineer Professional

Machine Learning Engineer - Associate

• What is it: Entry-level certification for ML engineers
• Skills tested: Basic machine learning concepts, model development
• Prerequisites: Basic knowledge of machine learning
• Who is it for: Aspiring ML engineers
• Cost: $200
• Exam format: Multiple-choice
• Validity: 2 years
• Where to get started: Databricks Machine Learning Engineer Associate

Databricks Certified Machine Learning Engineer - Professional

• What is it: Advanced certification for experienced ML engineers
• Skills tested: Advanced ML concepts, model deployment, performance optimization
• Prerequisites: Extensive experience in machine learning
• Who is it for: Experienced ML engineers
• Cost: $300
• Exam format: Multiple-choice and hands-on tasks
• Validity: 2 years
• Where to get started: Databricks Machine Learning Engineer Professional

Generative AI Engineer

• What is it: Certification for AI engineers specializing in generative AI
• Skills tested: Generative AI models, AI applications
• Prerequisites: Basic knowledge of AI and machine learning
• Who is it for: AI engineers, data scientists
• Cost: $300
• Exam format: Multiple-choice and hands-on tasks
• Validity: 2 years
• Where to get started: Databricks Generative AI Engineer

Apache Spark Developer Associate

• What is it: Certification for developers using Apache Spark on Databricks
• Skills tested: Spark programming, data processing
• Prerequisites: Basic knowledge of Spark
• Who is it for: Developers, data engineers
• Cost: $200
• Exam format: Multiple-choice and coding tasks
• Validity: 2 years
• Where to get started: Databricks Apache Spark Developer

Hadoop Migration Architect

• What is it: Certification for architects migrating Hadoop workloads to Databricks
• Skills tested: Hadoop migration strategies, data architecture
• Prerequisites: Knowledge of Hadoop and Databricks
• Who is it for: Data architects, engineers
• Cost: $300
• Exam format: Multiple-choice and project-based tasks
• Validity: 2 years
• Where to get started: Databricks Hadoop Migration Architect

Databricks accreditations

As mentioned, accreditations offer Databricks developers the ability to pass accreditations and earn badges demonstrating their skills in specific Databricks topics.

Thus, these accreditations are often categorized into different Databricks topics. They are designed to be accessible to all and introductory, as such, they are free to take. The accreditation often then lasts forever. 

Unlike the certifications, these assessments are much faster, often only taking 20 minutes to complete.

You can access more FAQ information about the badges here. 

Databricks Fundamentals

• What is it: Accreditation for basic knowledge of the Databricks platform
• Purpose: Introduce foundational concepts

Generative AI Fundamentals

• What is it: Accreditation for foundational understanding of generative AI
• Purpose: Introduce basic generative AI concepts

AWS Platform Architect

• What is it: Accreditation for architects working with AWS and Databricks
• Purpose: Validate skills in AWS and Databricks integration

Azure Platform Architect

• What is it: Accreditation for architects working with Azure and Databricks
• Purpose: Validate skills in Azure and Databricks integration

GCP Platform Architect

• What is it: Accreditation for architects working with Google Cloud Platform and Databricks
• Purpose: Validate skills in GCP and Databricks integration

Platform Administrator

• What is it: Accreditation for administrators managing Databricks platforms
• Purpose: Validate skills in platform administration