Data Integration and Flow Design Questions

Design how systems exchange synchronize and manage data across a technology stack. Candidates should be able to map data flows from collection through activation, choose between unidirectional and bidirectional integrations, and select real time versus batch synchronization strategies. Coverage includes master data management and source of truth strategies, conflict resolution and reconciliation, integration patterns and technologies such as application programming interfaces webhooks native connectors and extract transform load processes, schema and field mapping, deduplication approaches, idempotency and retry strategies, and how to handle error modes. Operational topics include monitoring and observability for integrations, audit trails and logging for traceability, scaling and latency trade offs, and approaches to reduce integration complexity across multiple systems. Interview focus is on integration patterns connector trade offs data consistency and lineage and operational practices for reliable cross system data flow.

MediumTechnical

76 practiced

You need to integrate a proprietary billing system with the revenue stack. Compare trade-offs between using the vendor-provided native connector (paid, limited customization) and building a custom connector. Evaluate TCO, reliability, security, operational ownership, and long-term agility for changing business requirements.

MediumTechnical

78 practiced

Implement a simple idempotent webhook consumer in Python (Flask-style pseudo-code acceptable). Requirements: accept POST JSON with 'event_id' and 'payload', persist processed event_ids to avoid double-processing, handle concurrent deliveries safely, and return appropriate HTTP codes so the sender knows whether to retry.

EasyTechnical

65 practiced

Explain idempotency in the context of webhook and API-based integrations between marketing tools and CRM. Provide one or two simple examples of idempotency keys and describe the negative business consequences (duplicate deals, double invoices, misstated attribution) of not supporting idempotent consumers.

HardTechnical

63 practiced

Design a system that continuously reconciles CRM opportunities, billing invoices, and customer-success ARR. It should detect inconsistencies, prioritize them by business impact, suggest automated fixes for common mismatches, and present a UI for manual triage. Describe the data model, matching logic, prioritization heuristics, and boundaries for automated remediation.

MediumTechnical

66 practiced

In a bidirectional sync between CRM and ERP for account records, explain when you would use last-write-wins versus field-level rule-based merging (field ownership). Give examples of fields that should be authoritative in the CRM vs ERP and describe how to handle concurrent edits to avoid data loss.

Unlock Full Question Bank

Get access to hundreds of Data Integration and Flow Design interview questions and detailed answers.

Join thousands of developers preparing for their dream job.