Integration Architect

???????????? ?????????????????? ???????????? & ??????????-???????????? ?????????????????????? ?????????????????? (????????????????????) AOPartners has been retained by a confidential client to find a senior, hands-on Integration Architect to accelerate its Salesforce-to-Microsoft Fabric customer master platform. The following information aims to provide potential candidates with a better understanding of the requirements for this role. It is not a "Fabric developer" or "Data Engineer" role. We want an integration architect who has already solved this exact class of problem: real-time Salesforce eventing into Fabric, with customer master sync across multiple downstream applications. You'll lead the architecture and write the code. Review and validate the end-to-end Salesforce ? Fabric ? downstream architecture Assess code quality, technical debt, scalability risks, and supportability Establish event contract standards and schema governance Stand up deployment and release management processes Eliminate single points of failure and harden resiliency Accelerate downstream consumer integrations across multiple enterprise applications Implement automated and regression testing for customer master events???????????? & ?????????? ????????????????????????Deep hands-on Fabric experience: Eventstreams, Notebooks, Lakehouse, Warehouse, Real-Time Analytics Enterprise-scale Pub/Sub and event-driven architecture design and delivery Azure Container Apps, Event Hubs, and Service Bus integrated with FabricEvent routing, replay, dead-letter patterns, and idempotent processing Performance tuning for Fabric workloads and event pipelines Observability, logging, monitoring, and production support readiness Expert in Platform Events, Pub/Sub API, and gRPC integrations Real-time integration experience, not batch ETLOAuth, event subscriptions, replay IDs, and resiliency patterns Bidirectional Salesforce-to-enterprise integration design True software engineering background, not low-code only Java, Python, Spark, and modern API development Automated testing frameworks for event-driven systems xhyhwjd Code review discipline, design patterns, coding standards, and CI/CDTrack record refactoring prototypes into production-quality solutions Customer master / MDM synchronization across multiple applicationsCDC, event sourcing, data contracts, and schema management Canonical customer models and downstream distribution patterns Data quality frameworks and validation rules Customer onboarding, update, and account sync workflows

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