Situation: Product and business stakeholders often provide ambiguous requirements (e.g., 'we need better data') without specifics on freshness, granularity, or SLAs. Conflicting priorities (speed vs. completeness), legacy constraints, and scope creep compound the challenge. Task: Translate fuzzy requirements into actionable technical solutions while managing trade-offs....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Snowflake. The answer also includes follow-up discussion points that interviewers commonly explore.
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