**Situation**: Financial/healthcare data requires encryption, access control, auditing.
**Action**: (1) Encryption—at rest (AES-256, SSE-KMS), in transit (TLS 1.2+); (2) Access—IAM, RBAC, column/row-level security; (3) Masking—PII anonymization for dev/test; (4) Auditing—access logs, lineage; (5) Compliance—GDPR, HIPAA, SOC2.
**Goldman Context**: Data residency, retention policies....
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 Goldman Sachs. The answer also includes follow-up discussion points that interviewers commonly explore.
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