Snowflake Coding & Algorithms interview questions typically blend standard LeetCode-style algorithmic problems with data-focused scenarios that reflect the company’s cloud data-warehouse and query-processing domain. Interviewers evaluate algorithmic problem solving, correctness, time/space complexity reasoning, clean and testable code, and the ability to connect solutions to real-world data problems (for example, efficient streaming, batching, or SQL-adjacent logic). Expect an initial online assessment or phone screen with 1–2 coding problems, followed by deeper technical interviews or an onsite loop that may include live coding in a shared editor, SQL puzzles, and system-design conversations for senior roles. For interview preparation, focus on solidifying core data structures (arrays, strings, trees, graphs, heaps, hash maps), common algorithm patterns (two pointers, sliding window, DFS/BFS, dynamic programming), and complexity analysis, while practicing clear, concise communication of trade-offs. Pair algorithm practice with at least a basic review of Snowflake’s product areas—query performance, distributed compute, and data modeling—so you can frame solutions with practical performance considerations. Time-box practice, do mock interviews, and rehearse explaining your thought process and trade-offs under pressure.