Spent the first minute just mapping out the data flow between the two systems, which I think was the right call.
Start by clarifying the business goal and data flow between the email tool and CRM, then outline a phased integration approach (e.g., MVP with core sync, then advanced features). Emphasize trade-offs between real-time vs. batch sync, build vs. buy, and data governance, while aligning with Meta's scale and privacy standards.
Pro tip: Show you understand that integration is not just technical—it's about defining the 'source of truth' for each data field and ensuring bidirectional sync doesn't create conflicts. Also, mention the importance of monitoring sync health and having a rollback plan.
Ask about the primary use case (e.g., lead nurturing, campaign attribution) and identify which data entities need to sync (contacts, leads, campaigns, events). Map the direction and frequency of data flow.
Decide between native connectors, middleware (e.g., Zapier, MuleSoft), or custom API integration. Consider trade-offs: speed to market, cost, scalability, and maintenance.
Specify field mappings, transformation rules, and conflict resolution (e.g., last-write-wins, CRM as master). Determine sync frequency (real-time via webhooks vs. batch) and error handling.
Ensure data encryption, authentication (OAuth), and compliance with GDPR/CCPA. Design for high volume and rate limits, especially at Meta's scale.
Propose a phased rollout (pilot, then expand), with success metrics (e.g., sync accuracy, latency). Include monitoring, alerting, and a rollback strategy.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.