Top 50 data architecture Interview Questions
The most frequently asked data architecture questions across all roles and companies, ranked by real interview frequency. Updated daily.
Tests influence without authority in a data engineering context, especially around stakeholder buy-in, technical change management, and measurable adoption outcomes.
BarclaysTTata Consultancy Services
Nyc StaffingDesign a real-time pipeline for ingesting human feedback events with validation, replay, and support for evolving schemas.
AnthropicEEcolabAAnswer DigitalExplain a structured approach to designing reliable data engineering, machine learning, and AI systems.
McKinsey &Design a fault-tolerant real-time pipeline that ingests, validates, transforms, stores, and serves data for AI applications.
FujitsuBarclaysExplain how you have compared warehouse and lake architectures, modeled dimensions, and designed Spark pipelines in pre-sales or consulting work.
DatabricksDesign an Adobe hybrid storage pipeline that links context across structured, unstructured, and vector data for RAG retrieval.
AdobeExplain how you evaluated scalability, reliability, cost, latency, maintainability, and data quality when choosing a data architecture.
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Design an ML data architecture that works with legacy systems while supporting scalable training, serving, and monitoring in production.
TEKsystems
DXC Technology
Oliver WymanAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADPUse joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.
Qlik