Senior engineer owning advertiser-grade reporting and the Ads Druid analytics layer for Netflix's ad tier

A senior IC role (Netflix SE5, comp $388K-$558K) on the new Ads Platform Engineering team, responsible for building advertiser-facing and internal reporting APIs and owning the Druid OLAP layer that backs all ads reporting and dashboards. The role explicitly requires meeting MRC audit-grade standards for data completeness, accuracy, and traceability in a fast-growing Connected TV advertising business.

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What this interview tests

OLAP analytics architecture (Druid or comparable)
Designing self-service reporting APIs for internal and external consumers
Data completeness/accuracy/traceability for audit-grade (MRC) reporting
Ad tech and programmatic advertising domain knowledge
Operating on a nascent team with high ambiguity and high ambition

Common question themes

Describe a reporting/analytics system you owned that had to scale to high-concurrency, low-latency access

How would you design and operate a Druid-based (or similar OLAP) analytics layer for ads reporting

Tell me about a time data had to be audit-grade or defensible to an external party — how did you ensure completeness and traceability

How do you design a reporting API that serves both internal teams and, eventually, external advertisers

What do you understand about the CTV/programmatic advertising landscape and how does it change your engineering decisions

How candidates describe it

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