Integration Engineer

• 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

Do you have experience in YAML?, * 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