Data Modeling for DoorDash Domain Questions
Data modeling concepts tailored to the DoorDash domain, including conceptual and logical modeling, entity-relationship and dimensional modeling, schema design for transactional OLTP systems and analytical workloads, domain-driven design considerations for orders, restaurants, menus, drivers, deliveries, payments, and logs, data access patterns, and governance and schema evolution for a high-traffic on-demand delivery platform.
HardTechnical
0 practiced
Design the schema and pipeline to reconcile payments between DoorDash, multiple payment gateways, and restaurants. The system must support partial refunds, fees, chargebacks, and eventually reconcile ledger balances per merchant daily. Include event models, reconciliation windows, and how to detect and surface mismatches.
MediumTechnical
0 practiced
Create a migration plan to migrate a legacy normalized menu schema (menus, menu_sections, items, item_options) to a denormalized star schema for analytics with minimal downtime. Include steps: incremental ETL, verification queries, schema toggles, backfill strategy, and rollback plan. Describe validation checks to ensure data parity.
HardTechnical
0 practiced
Queries for 'average delivery time by restaurant' are slow in your analytics warehouse. Suggest schema-level, storage-level, and ETL-level optimizations across OLTP and OLAP to speed up reporting. Consider pre-aggregation, partitioning, clustering, materialized views, and incremental ETL.
MediumTechnical
0 practiced
Propose a backup and recovery strategy for DoorDash OLTP databases that minimizes RPO/RTO while remaining cost-effective. Include full/differential backups, WAL shipping, point-in-time recovery, testing backups, and considerations during large schema migrations.
HardTechnical
0 practiced
Design an efficient approach to aggregate per-minute driver location pings into per-delivery paths for analytics: propose schema for storing compressed paths, the ETL to build them from raw pings, and query patterns for visualizing paths or computing route metrics (distance, duration).
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