databricks

Product Designer Interview

This interview focuses on designing a core Lakehouse experience for users. The candidate will be expected to define and sketch a workflow that facilitates data platform teams to govern, share, and collaborate on trusted datasets across workspaces.

Product Designer

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Questions that have appeared at databricks for an engineering (Case Study) interview.

1. Distributed Systems

Question: Describe a challenging problem you encountered in the design or operation of a distributed system. How did you solve it?

Question: How would you design a distributed system that guarantees data consistency?

2. Data Processing

Question: Can you explain how you would optimize data processing in a large-scale environment?

Question: Describe a situation when you had to improve the performance of a data-intensive application. What was your approach?

3. Scalability

Question: Suppose we need to scale a system to handle 10x its current load. How would you approach this situation?

Question: Tell us about a time when you had to design a system for scalability. What were the key considerations and how did you overcome any challenges?

4. Big Data

Question: Can you explain how you would handle processing a large amount of data that cannot fit into memory?

Question: Describe a project where you handled the analysis of a large dataset. What tools did you use and what were the challenges?

5. System Design

Question: Suppose you are asked to design a real-time data processing system. What are the key components you would include and why?

Question: Can you describe a situation where you had to make trade-offs in system design? What factors did you consider and what was the outcome?

About This Interview

Interview Type

PRODUCT SENSE

Difficulty Level

4/5

Interview Tips

• Research the company thoroughly

• Practice common questions

• Prepare your STAR method responses

• Dress appropriately for the role