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Senior Integration Engineer
As a Sr. Integration Engineer you can expect to… Design and implement enterprise integration architectures that connect business applications, analytics platforms, and intelligent services across the Microsoft ecosystem Build scalable integrations using Azure Integration Services including Azure API Management (APIM), Logic Apps, Azure Functions, Service Bus, Event Grid, and Event Hubs Develop API-based, event-driven, and message-based architectures connecting ERP, CRM, Dataverse, analytics platforms, and external enterprise systems Enable downstream analytics and AI workloads by delivering ingestion pipelines into Microsoft Fabric, Synapse, Azure Databricks, and Power BI semantic environments Support integration patterns required for Copilot, Azure OpenAI, semantic search, and intelligent application scenarios Integrate Microsoft Business Applications including Dynamics 365 and Dataverse with Azure data platforms and enterprise systems Develop secure APIs and integration workflows leveraging OAuth2, Managed Identities, and APIM policies Implement Infrastructure as Code (IaC) using Bicep and YAML to support consistent and repeatable deployments Build and maintain CI/CD pipelines using Azure DevOps to support automated delivery across development, test, and production environments Design resilient integrations with monitoring, alerting, retry logic, and observability frameworks to ensure production reliability Collaborate with solution architects, consultants, and client stakeholders to translate target-state designs into production-ready integration architectures Participate in technical discovery workshops with clients to define integration strategies and architectural approaches Establish reusable integration patterns, accelerators, and delivery frameworks across engagements Support enterprise governance, networking, identity, and security best practices across integration workloads You’re great at… Designing enterprise integration architectures across cloud-native environments that connect business applications, analytics platforms, and intelligent services into a cohesive data ecosystem Selecting and implementing appropriate Azure Integration Services patterns using APIM, Logic Apps, Azure Functions, Service Bus, Event Grid, and Event Hubs based on scalability, latency, and reliability requirements Building event-driven and near-real-time integration solutions that support operational reporting, automation, and data movement across distributed platforms Designing secure, reusable API layers that enable interoperability between internal systems, external services, analytics environments, and enterprise data platforms Integrating Dynamics 365, Dataverse, SQL platforms, and enterprise SaaS applications into Azure-based data estates that support downstream reporting and intelligent workloads Delivering ingestion pipelines that support analytics platforms such as Microsoft Fabric, Synapse, Azure Databricks, and Power BI by ensuring data arrives reliably and consistently in production-ready form Supporting integration scenarios that enable intelligent applications, including Copilot and Azure OpenAI solutions, by preparing structured and unstructured data pipelines Implementing change data capture, streaming ingestion, and event-based synchronization strategies for near-real-time data movement where appropriate Implementing monitoring, alerting, retry logic, and observability frameworks that maintain reliability across enterprise integration pipelines Applying secure authentication and authorization strategies using OAuth2, Managed Identities, and Azure security best practices across system boundaries Translating solution architecture into production-ready implementations while collaborating effectively with architects, engineers, and client stakeholders Contributing reusable integration accelerators, templates, or delivery patterns that improve consistency and speed across consulting engagements Communicating integration tradeoffs clearly to technical and functional audiences to support informed decisions about performance, scalability, and platform design Promoting the mission and Shared Values of our company Sound interesting? If so, you’ll have… 5+ years designing and delivering enterprise integration solutions in Azure environments Hands-on delivery using Azure Integration Services such as API Management, Logic Apps, Azure Functions, Service Bus, Event Grid, or Event Hubs Support of analytics or modern data estate implementations across platforms such as Microsoft Fabric, Synapse, Azure Databricks, or Power BI Integration of Microsoft Business Applications such as Dynamics 365 or Dataverse with Azure-based services and enterprise systems Design of API-based, event-driven, or message-based integration architectures in distributed environments Implementation of CI/CD pipelines and Infrastructure as Code using Azure DevOps, Bicep, or equivalent tooling Definition of integration patterns supporting scalable enterprise data platforms across Dynamics 365, Dataverse, and Azure analytics services Delivery within consulting, multi-client, or enterprise transformation environments Strong collaboration across architects, engineers, and delivery teams Microsoft Azure certifications such as Azure Developer Associate or Azure Solutions Architect Associate preferred
