Snowflake
Cloud data platform enabling data warehousing, data lakes, and data sharing.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
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Behavioral
•
medium
Snowflake's core value is 'Embrace Each Other's Differences' but also 'Get It Done'. Tell me about a time you had a fundamental disagreement with a Product Manager regarding the interpretation of an A/B test result. How did you resolve it?
#Stakeholder Management
#Communication
#Conflict Resolution
Data Scientist
•
Behavioral
•
easy
Tell me about a time you had to deliver a complex data science project under a tight deadline with highly ambiguous requirements. How did you scope the work?
#Ownership
#Project Scoping
#Ambiguity
Data Scientist
•
Coding
•
medium
Given a table of Snowflake customer query executions with columns `customer_id`, `query_id`, `start_time`, `end_time`, and `credits_used`, write a SQL query to calculate the 7-day rolling average of daily credits consumed per customer.
#Window Functions
#Time Series Aggregation
#Data Transformation
Data Scientist
•
Coding
•
medium
Write a Python function that takes a list of query execution intervals (start_time, end_time) for a specific compute warehouse and an auto-suspend threshold (in seconds). Calculate the total billed uptime, keeping in mind that the warehouse stays on for the auto-suspend duration after the last query finishes.
#Merge Intervals
#Array Manipulation
#Python
Data Scientist
•
Coding
•
hard
Given a table of query logs, write a SQL query to find the maximum number of concurrent queries that ran on a specific virtual warehouse 'WH_ANALYTICS' during the last 24 hours.
#Overlapping Intervals
#Concurrency
#Advanced SQL
Data Scientist
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Coding
•
medium
Given a table of user logins and a table of query executions, write a SQL query to find the percentage of users who executed at least one query within 5 minutes of their first login of the day.
#Joins
#Date/Time Functions
#CTEs
Data Scientist
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Coding
•
easy
You are given a dataset containing JSON strings in a VARIANT column representing query execution metadata. Write a Python script using pandas to parse this JSON, extract the 'bytes_scanned' and 'execution_time_ms' fields, and identify queries that scan massive data but execute suspiciously fast.
#Data Parsing
#JSON
#Pandas
Data Scientist
•
System Design
•
hard
Design a recommendation system for the Snowflake Data Marketplace to suggest third-party datasets to existing Snowflake customers.
#Recommendation Systems
#Collaborative Filtering
#Cold Start Problem
Data Scientist
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System Design
•
hard
Design an anomaly detection system to identify potentially malicious query patterns or data exfiltration attempts by compromised user accounts in real-time.
#Anomaly Detection
#Real-time Processing
#Security Analytics
Data Scientist
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Technical
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medium
We want to A/B test a new UI layout in Snowsight (Snowflake's web interface) designed to help users write queries faster. How would you design this experiment, and what metrics would you track?
#A/B Testing
#Experiment Design
#Product Sense
Data Scientist
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Technical
•
hard
How would you build a machine learning model to predict which Snowflake customers are at risk of churning or reducing their compute spend in the next 30 days?
#Churn Prediction
#Feature Engineering
#Imbalanced Data
Data Scientist
•
Technical
•
hard
We recently launched a major marketing campaign in a specific region to drive Snowflake consumption, but we couldn't run a randomized control trial. How would you measure the causal impact of this campaign on credit usage?
#Causal Inference
#Synthetic Control
#Difference-in-Differences
Data Scientist
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Technical
•
medium
A Product Manager wants to monitor an ongoing A/B test for a new data sharing feature every day and stop the test as soon as the p-value drops below 0.05. Explain why this is problematic and how you would handle it.
#A/B Testing
#Peeking Problem
#Sequential Testing
Data Scientist
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Technical
•
medium
We are considering changing the default auto-suspend time for newly created compute warehouses from 10 minutes to 5 minutes. What are the trade-offs, and what metrics would you analyze to evaluate this change?
#Trade-offs
#User Experience
#Cost Optimization
Data Scientist
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Technical
•
medium
How would you build a time-series forecasting model to predict daily Snowflake credit usage for a large enterprise customer to power a budget alerting feature?
#Time Series
#Forecasting
#Model Evaluation
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Always explain your thought process before writing code or drawing architecture.