Technical Priorities and Challenges Questions
Identify the team's current technical priorities, pain points, and technical roadmap including architecture, technical debt, platform and tooling constraints, and business intelligence or data infrastructure considerations. Candidates should be able to discuss the current data stack and workflows, trade offs between short term fixes and longer term redesigns, success criteria for technical initiatives in the first 90 days and first year, and how their technical experience and decisions would address the team constraints while aligning with product goals.
HardTechnical
0 practiced
Design a system to provide reproducible historical dashboards that reflect how metrics looked at a point-in-time for audits. Requirements: efficient storage of snapshots or computed artifacts, metadata for semantic context (schema and rule versions), and a retrieval API that serves point-in-time consistent results. Focus on service-layer design and metadata handling.
MediumTechnical
0 practiced
Design a JSON schema for a paginated aggregate endpoint that returns time-series metric buckets. Include fields for pagination (cursor or page), aggregate value, bucket start/end, cache-control metadata, and a staleness flag that indicates partial freshness. Explain the purpose of each field and how clients should interpret them.
HardTechnical
0 practiced
Our BI team uses a third-party tool that relies on scheduled extracts to populate dashboards. Extract refreshes have been failing intermittently during ETL peak windows causing stale dashboards. Propose immediate workarounds and a 6-12 month architectural redesign to reduce reliance on timed extracts while considering organizational constraints.
HardSystem Design
0 practiced
Design an architecture for on-demand heavy report generation (PDF/CSV) that may take minutes to complete. Requirements: keep UI responsive, allow retries and cancellation, enforce per-tenant fairness, control cost, and provide audit logs. Describe queuing, worker autoscaling, backpressure, storage of artifacts, and how you would surface progress to users.
MediumTechnical
0 practiced
Draft a practical 90-day plan for a BI team that needs to improve dashboard reliability and reduce mean query latency. Include: goals, measurable success criteria (KPIs), immediate quick wins, technical enablers, dependencies, and a 90-day timeline of activities. Assume limited engineering bandwidth and an existing microservice-based architecture.
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