Experience supporting analytics or data estates with Microsoft Fabric, Synapse, Databricks, or Power BI
Knowledge in integrating Dynamics 365, Dataverse with Azure services
Proficient in designing API-based, event-driven integration architectures
Experience with CI/CD pipelines and Infrastructure as Code using Azure DevOps or similar tools
Ability to work collaboratively in consulting or enterprise environments
Responsibilities
Design and implement enterprise integration architectures within Microsoft ecosystem
Build scalable integrations using Azure Integration Services
Develop various architectures connecting ERP, CRM, and external systems
Deliver ingestion pipelines for analytics and AI workloads in Microsoft platforms
Support integration scenarios enabling applications like Azure OpenAI
Establish reusable integration patterns and frameworks
Implement Infrastructure as Code (IaC) and maintain CI/CD pipelines
Benefits
Opportunity to work with cutting-edge technologies in Azure and AI
Engage in innovative project work with a strong emphasis on analytics
Collaborate with cross-functional teams to influence design and architecture
Participation in technical workshops with clients to shape integration strategies
Access to professional development resources and potential certifications
Full Job Description
Role introduction
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
