Technical Vision and Infrastructure Roadmap Questions
This topic assesses a candidate's ability to define a multi year technical vision for infrastructure, platform, and systems and to translate that vision into a practical execution roadmap. Core skills include evaluating technology choices and architecture evolution, planning migration and modernization paths, anticipating scalability and capacity needs, and balancing cost performance with resilience and operational reliability. Candidates should demonstrate approaches to managing technical debt, sequencing investments across quarters and releases, estimating resources and timelines, establishing measurable infrastructure goals and key performance indicators, and implementing governance and standards. Discussion may also cover reliability and observability, security and compliance considerations, trade offs between short term stability and long term rearchitecture, prioritization to enable business outcomes, and communicating technical trade offs to both technical and non technical stakeholders.
MediumSystem Design
0 practiced
Design a fault-tolerant, scalable ingestion and processing pipeline that handles 100,000 events/second peak using Kafka for ingestion and Spark Structured Streaming for processing. Include partitioning strategy, producer/consumer tuning, backpressure handling, stateful processing and exactly-once semantics, checkpointing, and critical monitoring points to put into the roadmap.
EasyTechnical
0 practiced
Design a minimal but effective observability stack for ETL pipelines. Include components for logs, metrics, tracing, alerting, dashboards and lineage. Suggest concrete technologies (e.g., Prometheus, Grafana, OpenTelemetry, ELK, Data Catalog) and list what you would instrument on each ETL job (duration, read/write counts, error types, data volume, lineage metadata).
EasyTechnical
0 practiced
Describe a pragmatic approach to forecast compute and storage capacity for the next 18 months for a data platform currently ingesting 10 TB/month. Explain the inputs to your model (ingest growth, retention policy changes, query growth), how to incorporate product roadmap items, and a plan to validate and recalibrate forecasts quarterly.
MediumSystem Design
0 practiced
Design a multi-region replication strategy for a data platform serving global users. Discuss synchronous vs asynchronous replication, region-local read strategies, eventual consistency impacts on analytics, cross-region bandwidth and cost, and a recommendation for serving low-latency queries versus global analytics workloads.
MediumSystem Design
0 practiced
Design a governance model and a set of IaC standards so that multiple teams can provision data environments safely. Cover module design best practices, naming conventions, automated CI checks, policy-as-code enforcement, RBAC and least-privilege for provisioning, cost-center tagging, and a lightweight approval workflow for exceptions.
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