Principal Integration Architect

Principal Integration Architect

Key Responsibilities

1. Solution Architecture & Business Delivery

Architectural Leadership: Design high-level architectures for complex business integration requirements, ensuring alignment with enterprise standards.

Requirements Translation: Act as a liaison between business stakeholders and technical execution, taking full ownership of "Requirement-to-Production" delivery.

End-to-End Delivery: Lead the technical design and implementation of cross-platform integrations, ensuring data integrity and system reliability.

2. API & Infrastructure Engineering

• Core Development: Build enterprise-grade APIs using C# and .NET on Azure Functions.
• Traffic Management: Architect and manage the API gateway layer using APIM and Azure Application Gateway for secure, high-traffic environments.
• Infrastructure as Code: Utilize Terraform and Azure DevOps to automate the provisioning of all integration infrastructure.
• Level 3 Support: Act as the point of escalation for complex integration issues, including API code bugs, networking failures, and authentication bottlenecks.
• Incident Resolution: Perform deep-dive root cause analysis (RCA) for integration failures across the Azure stack and Power Platform.

3. Advanced Automation & AI

• Operational Excellence: Build CI/CD pipelines and automate system maintenance using PowerShell/Python via Azure Automation.
• AI & Innovation: Architect and deploy AI Agents and MCP (Model Context Protocol) servers to enhance business productivity.
• Proactive Monitoring: Establish deep observability by configuring advanced telemetry and alerts in Application Insights.

4. Low-Code & Extensibility

• Power Platform: Design and build Canvas/Model-Driven apps and custom PCF components.
• Bridge Systems: Develop Custom Connectors to link the Power Platform with bespoke Azure-hosted APIs.

Technical Profile

• Pillar Required Expertise
• Architecture: Enterprise Integration Patterns (EIP), System Design, Cloud Network
• Development: C#, .NET Core, Azure Functions, PCF (TypeScript/React)
• Infrastructure: Terraform, Azure APIM, Application Gateway, Azure DevOps
• Automation: Python, PowerShell, Azure Automation, GitHub Actions/DevOps Pipelines
• Power Platform: Power Apps, Power Automate, Custom Connectors, Dataverse
• AI/ML: AI Agent Frameworks, MCP Server implementation