As a 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
