Top Databricks Interview Questions and Answers: Ace Your Next Tech Job Interview

As someone who is interested in pursuing a career at Databricks, it is important to understand the background of this leading software company. Founded in 2013 by the creators of Apache Spark, Databricks has expanded its reach to different countries and integrated with various platforms such as Microsoft Azure and Google BigQuery Engine. With over 4000 engineers employed and a revenue of around 1 billion dollars, Databricks has established itself as a major player in the industry.

To help you prepare for a potential interview at Databricks, we have compiled a list of the 25 most commonly asked questions, including both behavioral and technical ones. With sample answers provided, this article can serve as a valuable resource in your preparation for landing your dream job at Databricks. Let’s take the first step towards your career path and dive into the interview questions.

Table of Contents

1. What Do You Know About Databricks?

Databricks is a cloud-based software company that specializes in big data processing. The company offers a range of career opportunities, including software development, sales, and data science. Databricks is known for its one-stop-shop approach to data-related tools and software. The company has a good reputation for employee satisfaction and boasts a team of passionate engineers who work together to compete in the global market. With its innovative cloud-based tools and strategies, Databricks is a leading player in the big data industry.

2. Is Databricks Different From Azure Databricks?

Databricks and Azure Databricks are both software companies that offer development services. However, Azure Databricks is a DevOps platform that partners with Microsoft to deliver various development solutions. On the other hand, Databricks employs multiple tools, strategies, and cloud forms to develop projects for end-users. While both companies offer technical tools for devising, deploying, and monetizing software, their approach and focus may differ.

3. What Are The Primary Duties Of The Databricks Software Engineer?

As a Databricks software engineer, my primary duties include designing and implementing data ingestion pipelines using Apache Spark sources. I analyze and provide developing solutions for Data Warehouses, Data lakes, and architectural demands. I plan and analyze project details, decide the time frame, and divide and explain tasks to team members according to their expertise. During the designing, developing, quality assurance, testing, and shipping phase, I ensure that the software is ready to be installed on the user’s server. In short, my duties involve the entire process of software development, from planning to shipping.

To accomplish these tasks, I use my expertise in programming languages such as Python, Java, and Scala, among others. I also have experience in working with big data technologies such as Hadoop, Spark, and Kafka. I am skilled in data modeling, data warehousing, and ETL processes. I work collaboratively with my team members to ensure that our software meets the needs of our clients.

Overall, the primary duties of a Databricks software engineer involve designing, developing, testing, and shipping software solutions that meet the needs of clients. We use our expertise in programming languages and big data technologies to ensure that the software is efficient, effective, and meets the highest standards of quality.

4. Why Did You Choose Software Development As Your Full-Time Career?

I chose software development as my full-time career because I am passionate about coding and solving technical problems. It allows me to develop innovative applications and software, design spreadsheets, and visualizations of different objects. I also enjoy working with programming languages. This field has increasingly sparked my interest, and I love providing companies with the tech solutions they demand.

5. Are You Familiar With The SQL Interface That Databricks Employ?

I possess significant knowledge of SQL, which is a coding language used to extract information from RDBMS and modify data accordingly. Databricks employs this interface, which is beneficial for data analysis and management. It is a powerful tool that can fill pages with information.

6. What Was Your Latest Development Project As A Software Engineer?

As a software engineer, my latest development project involved creating an HR system for a company that needed to update their outdated software and add a financial management aspect. It was a challenging task, but my team and I successfully developed a high-performance HR system that streamlined the company’s HR processes. The system allowed authorities to record employee attendance, handle salaries, provide training to new employees, and even hire new workers. My role in the project was primarily coding, but I also participated in QA and testing to ensure the system’s reliability and efficiency. The project was a success, and it was rewarding to see how it saved time and improved the company’s HR operations.

Key Features
Employee attendance tracking
Salary management
New employee training
Hiring process management

7. Name Some Of Your Preferred Programming Languages.

I have a strong command of Java, HTML, C++, C#, and Python. However, my most preferred languages are Java, C#, and C++. I find working with these languages to be highly productive in developing applications and software. As programming languages are the foundation of software development, I strive to gain advanced-level experience in all of them.

8. Do You Have First-Hand Knowledge Of Quality Assurance And Debugging?

I have extensive experience in quality assurance and debugging. I have worked with QA experts to test HR systems, using code-based testing and peer reviews to identify bugs. Once coding errors are ruled out, I proceed to dynamic testing to evaluate project performance. My goal is always to deliver high-quality products to consumers, ensuring reliability and satisfaction.

9. How Significant Is Software Testing, In Your Opinion?

In my opinion, software testing plays a crucial role in ensuring that users receive high-quality software applications that perform well. Testing is a tool that helps to ensure the software is mature and performs well, making it essential to conduct various tests before launching it. However, it is better to use manual tests instead of being too rigorous with testing, as it can harm the initial software. Therefore, software testing is significant in providing users with high-performing software applications.

10. Have You Heard About Cache? How Will You Define It?

Cache is a temporary storage service that detects repeated actions and saves them. Extracting information from the cache saves server storage and time.

11. What Is Your Opinion Is The Benefit Of Clearing Cache Files?

Clearing cache files can free up storage space on your device without losing any important data. This can improve the overall performance of your device and allow for more storage for other applications.

12. Have You Ever Experienced A Situation Where It Became Difficult To Fix A Bug?

In my previous jobs, I have encountered several instances where I had to debug an error without the assistance of a senior. Although it was challenging, it helped me develop my problem-solving skills and taught me to remain calm under pressure. I was able to resolve the issue and assure the customer of a timely fix. It is crucial to remain composed and focused in such situations to ensure a successful resolution.

13. What Kind Of Team Do You Prefer Working With In A Professional Environment?

In a professional environment, I prefer working with a team that is proactive, passionate, and competent. It is essential to have team members who are energetic and empathic towards each other, creating a friendly environment. A team that values each other’s opinions and collaborates efficiently generates quick solutions to problems. Trust is crucial, and I prefer working with people whom I can rely on, even if I am not around. Overall, a team that has a positive attitude and works together towards a common goal is ideal for me.


Qualities of an Ideal Team
Positive Attitude

14. Can You Name Your Preferable Coding Tools? Does Coding Interests You In The First Place?

I have a few coding tools that I prefer to use for different purposes. For general coding, I find Visual Studio Code to be my go-to tool. However, when it comes to developing Android applications, I use Android Studio, and for iOS, I employ Xcode. Other tools that I have used include Notepad++, Brackets, and Sublime text, but I find myself loving the first three.

Ironically, I find coding to be fascinating, especially when it involves challenging tasks.

15. How Will You Differentiate Between RDBMS And DBMS?

When it comes to database management systems, RDBMS and DBMS are the two most commonly used types. While both serve the purpose of managing data, there are some key differences between them. Here’s how I differentiate between RDBMS and DBMS:

  • RDBMS stores data in tables, while DBMS stores data in files.
  • RDBMS allows multiple file access to users, while DBMS only allows access to one file at a time.
  • RDBMS features normalization, which eliminates data redundancy due to indexes, and has a distributed database, whereas DBMS lacks these features.

By understanding these differences, you can determine which type of database management system is best suited for your needs.

16. Are The Class And Object The Same? If Not, What’s The Difference?

As I understand it, the class and object are not the same. The class is like a blueprint that contains the rules and member data. In contrast, the object is the reality that is available to the user to interact with. The object extracts its data and rules from the class. Therefore, the class is only an object’s template, while the object is the actual instance that we can interact with.

In simple terms, the class provides a template for creating objects by highlighting a few characteristics and functions that the object highlights in detail. One can create as many objects, but the product has only one class. For example, if we take an automobile, its model is the class, and the particular vehicle of that model is an object.

In summary, the class and object are different concepts, and understanding their differences is crucial for object-oriented programming.

17. Can You Highlight What’s Inheritance Is And Its Limitations?

Inheritance is a powerful feature of object-oriented programming (OOP) that allows objects to share common characteristics. For example, cars, trucks, and buses share common parts such as steering, tires, brakes, and clutch. Inheritance allows each vehicle to inherit these parts and use them accordingly by slightly modifying their outlook. This feature reduces the efforts of designing the same thing from the start and aids in reusing the code.

However, inheritance has some limitations. Implementing inheritance can be time-consuming and complicated, as the involved classes are closely linked together. This can lead to complexities for the worker. Therefore, it is essential to use inheritance judiciously and understand its limitations to avoid any potential issues.

To make the most of inheritance, it is recommended to use it in a way that enhances the design and reduces redundancy. In summary, inheritance is a powerful tool in OOP that can significantly reduce the development time and enhance the design, but it should be used judiciously, keeping its limitations in mind.

18. How Will You Rate Your Interpersonal Relationship Skills On A Scale Of 1 To 10?

In my opinion, interpersonal relationship skills are crucial to succeed in any business or industry. As someone who constantly strives for improvement, I believe I can rate my interpersonal relation skills as a 7 out of 10. I understand that there is always room for improvement, and I am committed to enhancing my skills.

My approach to dealing with customers is to be patient and logical in my communication. I have found that this approach helps to comfort angry or dissatisfied consumers. Additionally, I believe targeted communication is essential when dealing with customers from diverse cultures.

Overall, I am confident in my ability to handle customer interactions effectively, and I am committed to continuously improving my skills.

19. How Do You Cope With The Frequent Tech Advancements, As This Field Is Prone To Change?

I personally cope with the frequent tech advancements by staying curious and continuously learning. I make it a habit to regularly research and read about new concepts and advancements. Additionally, I love to experiment with different tools and software to gain more insight into several things beforehand. This way, I am always prepared for any changes and challenges that come my way. Embracing change and staying motivated to keep improving is key in this field.

20. What Do You Know About The Types Of Cloud Computing?

There are four types of cloud-based services: Infrastructure as a Service (IaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Serverless cloud computing.

IaaS provides users with storage, networking services, and virtualization. SaaS is a deliverable cloud model that allows direct access to the software. PaaS offers designed applications, software, and hardware to the users to run in their systems, like Microsoft Azure and Heroku. Serverless computing enables vendors to control the consumer’s systems on their behalf, providing back-end services to the users.

Each type of cloud computing has its advantages and disadvantages, and choosing the right one depends on the specific needs of the user.

21. Can You Differentiate Between A Data Warehouse And Data Lake?

As an expert in data management, I can confidently differentiate between a data warehouse and a data lake. A data warehouse contains structured data that has been processed and organized, making it ideal for business analysis. On the other hand, a data lake contains both structured and unstructured data, including raw data from previous periods. While a data lake is more flexible and easier to alter, it requires third-party integration for optimal performance. It is essential to understand the differences between these two data storage solutions to make informed decisions for your business.

In summary, the key differences between a data warehouse and a data lake are:

  • Data Warehouse contains structured data, while a Data Lake contains both structured and unstructured data.
  • A Data Warehouse is more organized and offers more resistance to change, while a Data Lake is more flexible and easier to alter.
  • Data Warehouse is ideal for business analysis, while Data Lake requires third-party integration for optimal performance.

22. How Will You Define Encapsulation?

Encapsulation is a fundamental concept in object-oriented programming. It involves combining data and behavior into a single unit, and restricting access to the internal details of that unit. In simpler terms, it is like packing all the necessary information about a task in a capsule, with the required information visible to the user and the unnecessary information hidden from view. This process involves binding and hiding both the necessary and unnecessary information of the task. Encapsulation is crucial in ensuring data security and code maintainability.

23. Comment On The Different Phases Of Data Designing.

During database desig, there are three phases that are followed, namely conceptual, logical, and physical model. In the conceptual phase, the data ecosystem is analyzed, and the attributes and relationships between them are identified to build a conceptual model. The logical phase involves translating the concept into the logical framework by choosing a specific data format. The last step of physical database design calls for implementing the logical model. which includes choosing management systems, maintaining security and storage, and dealing with file organization. Each phase is crucial in ensuring that the data is properly designed and implemented.

24. What Database Design Patterns Do You Employ The Most?

I prefer utilizing the Singleton, Observer, Adapter, and Facade design patterns in my database design. These patterns allow me to employ various design patterns without the need to use all 23 different kinds. The Singleton design pattern is useful in creating only one instance of a class, while the Facade pattern simplifies complex systems by providing a unified interface. The Observer pattern is beneficial in maintaining consistency between related objects, and the Adapter pattern helps in making incompatible objects work together. By using these design patterns, I can create efficient and effective database designs.

25. Name Your Personality Traits That Can Benefit Databricks In Growing Its Organization.

My passion for learning, patience, attention to detail, and adaptability to different work environments are the personality traits that I believe can be beneficial to Databricks’ growth. As technology continues to evolve, problems become more complex, and finding solutions requires analyzing the system from scratch, which demands patience and attention to detail to arrive at an accurate solution promptly. Being passionate and adaptable to different work environments is crucial to ensure that the path to success is not obstructed. The desire to learn opens up new ways of understanding the situation and finding innovative solutions. These traits can help Databricks grow by enabling me to contribute positively to the organization’s success.

My personality traits that can benefit Databricks in growing its organization are my passion for learning, patience, attention to detail, and adaptability to different work environments.


In conclusion, preparing for an interview is crucial to impressing the employer and securing the job. The questions discussed in this article provide insight into both technical and behavioral-based questions that may be asked during an interview. It is important to prepare for all possible questions to feel confident and relaxed during the interview.

Additionally, it is recommended to research the company’s culture and requirements to gain a better understanding of the workplace. This will help in determining if the company is the right fit for you.

Remember, being proactive and dedicated in your role, along with confidence and a clear mind, are key factors in impressing the employer. Good luck in your interview preparation!