About the Role

We are looking for a Senior Microsoft Azure Solution Architect with strong hands-on experience designing and building real-time, event-driven and data-intensive applications on Azure.

The role will involve designing and implementing solutions that combine Azure real-time services, IoT/telemetry, event streaming, APIs, databases, caching, Microsoft Fabric and Lakehouse technologies.

This is a hands-on architecture role. The candidate should be able to move from architecture and service selection to PoC, implementation, performance testing and production readiness.

What You ll Work On

You will help build modern operational platforms where real-time data and historical analytics work together - for example, control-room, fleet management, IoT, logistics and operational intelligence solutions.

1. Azure Solution Architecture

- Design end-to-end solutions using Microsoft Azure services.
- Translate business and technical requirements into scalable Azure architectures.
- Select Azure services based on performance, scalability, reliability, security and cost.
- Create solution architecture, data-flow and deployment diagrams.
- Identify technical risks and validate architecture through working PoCs.
- Work closely with application, data and frontend engineers to translate architecture into implementation.

2. Real-Time & Event-Driven Architecture

- Design and implement real-time data flows from device/application through event ingestion, stream processing, real-time state and APIs to the application.
- Work hands-on with Azure IoT Hub, Azure Event Hubs, Azure Stream Analytics, Azure Functions and Azure Cache for Redis.
- Apply sound practices for event processing, partitioning, latency, scalability and fault handling.

3. Database & Data Platform

- Design databases and data-storage patterns on Microsoft Azure.
- Work with Azure SQL / SQL Server, data modelling, indexing and performance tuning.
- Understand transactional versus analytical workloads and appropriate data-retention strategies.
- Design integration between operational databases and analytical platforms.

4. Microsoft Fabric & Lakehouse

- Design and implement analytical data flows using Microsoft Fabric and OneLake.
- Work with Fabric Lakehouse, Eventstream, Eventhouse and Power BI.
- Understand how real-time operational workloads in Azure integrate with historical and analytical workloads in Fabric.
- Help establish appropriate patterns for real-time analytics and historical data.

5. API & Application Services





- Build and integrate secure REST APIs using Azure API Management and Azure Functions.
- Work with Microsoft Entra ID and Managed Identity for authentication and service-to-service security.
- Support integration with modern web applications such as React / TypeScript.

6. Security & Cloud Engineering

- Apply Microsoft Entra ID, Managed Identity, Key Vault and RBAC.
- Design secure APIs and cloud workloads.
- Understand network security and private connectivity patterns.
- Use Azure Monitor and Application Insights for operational visibility.

7. Infrastructure & DevOps

- Use Terraform or Bicep for Infrastructure as Code.
- Implement CI/CD using Azure DevOps or GitHub Actions.
- Automate Azure deployments, environment configuration and monitoring.

Core Technical Skills Area Core Skills Cloud Microsoft Azure Real-Time Ingestion Azure IoT Hub, Azure Event Hubs Stream Processing Azure Stream Analytics Compute Azure Functions Real-Time State Azure Cache for Redis APIs Azure API Management Database Azure SQL / SQL Server Data Platform Microsoft Fabric, OneLake Lakehouse Microsoft Fabric Lakehouse Real-Time Analytics Fabric Eventstream / Eventhouse BI Power BI Identity Microsoft Entra ID / Managed Identity Security Key Vault / RBAC Infrastructure Terraform or Bicep DevOps Azure DevOps / GitHub Actions Good to Have

- Azure Service Bus, Event Grid and App Service
- Azure SignalR Service
- Azure Data Factory and Azure Data Lake Storage Gen2
- Cosmos DB and Azure Synapse
- Databricks
- Power BI Embedded
- React / TypeScript and WebSockets
- Geospatial or mapping applications
- Video streaming or media integration
- Azure IoT Edge
- Fleet management, connected vehicles, transportation, logistics or industrial IoT

Expected Solution Experience The candidate should be comfortable designing architectures that connect a real-time operational path with a contemporary analytical path: REAL-TIME / OPERATIONAL PATH

Connected Devices / Applications Azure IoT Hub / Event Hubs Azure Stream Analytics Redis / Real-Time State Azure Functions / API Management Web Application

ANALYTICAL / LAKEHOUSE PATH

Real-Time Events Microsoft Fabric Eventstream Eventhouse / OneLake Fabric Lakehouse Power BI / Analytics





Must-Have Experience

- 6-8 years of technology experience with strong hands-on Microsoft Azure experience.
- At least 2 production-grade Azure solutions involving several of the core technologies listed above.
- Real-time data or event processing experience.
- IoT, telemetry or high-volume data experience is strongly preferred.
- Strong SQL and database fundamentals.
- Experience with Microsoft Fabric / OneLake / Lakehouse architecture.
- Experience with Azure security, identity and Infrastructure as Code.
- Ability to work across architecture and implementation.

Hands-On Architecture Requirement This is not a purely architecture-documentation role. The successful candidate should be comfortable opening the Azure portal, configuring services, writing or reviewing code, troubleshooting event flows and demonstrating a working solution.
- Design the architecture and challenge service choices where necessary.
- Build working PoCs and critical Azure components.
- Configure event pipelines and APIs.
- Design databases and data flows into Fabric/Lakehouse.
- Troubleshoot real-time data flows.
- Perform performance and scalability testing.
- Set up CI/CD and Infrastructure as Code.
- Document the production-ready architecture.

Qualifications
- Bachelor s degree in Computer Science, Engineering or a related field.
- 6-8 years of technology experience.
- Strong hands-on Microsoft Azure experience.
- Experience designing and implementing cloud-native applications.
- Strong SQL and database fundamentals.
- Experience with Microsoft Fabric / Lakehouse architecture.
- Strong understanding of event-driven and real-time architectures.
- Strong communication and solution-design skills.
- AZ-305 Azure Solutions Architect certification is preferred but not mandatory.
- Relevant Azure data or IoT certifications are a plus.

Why This Role Matters This role sits at the intersection of cloud architecture, real-time engineering and modern data platforms. You will help turn complex operational data into reliable, real-time applications while building the analytical foundation needed for reporting, insights and future AI-driven capabilities.

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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