Solution Architect (Microsoft .NET/Azure)
Company Description
Job Description
At Experian, we use data, technology, and innovation to create opportunities for people and businesses around the world. We are seeking a highly experienced Solution Architect to lead the design and modernization of enterprise-scale Microsoft .NET and Azure solutions. This role offers the opportunity to influence technology strategy, drive cloud transformation, and help shape the future of AI-enabled digital platforms within a global, technology-driven organization. What You'll Do
- Lead the architecture, design, and governance of Microsoft .NET applications and Azure-based solutions.
- Design scalable, secure, and resilient cloud-native architectures using Azure services such as App Services, Azure Functions, AKS, API Management, Service Bus, and data platforms.
- Drive modernization initiatives, migrating legacy applications to cloud-native and containerized environments.
- Define and oversee CI/CD pipelines, infrastructure-as-code practices, and engineering governance standards.
- Conduct architecture and design reviews, ensuring alignment with enterprise standards and long-term technology strategy.
- Mentor engineers and technical leaders, promoting engineering excellence and continuous improvement.
- Support operational excellence through incident management, root cause analysis, and DevOps best practices.
What You'll Bring
- Bachelor's degree in Computer Science or a related discipline; postgraduate qualifications are advantageous.
- 13+ years of experience in Microsoft application development and solution architecture, including 4+ years delivering Azure cloud solutions.
- Strong expertise in C#, .NET Framework, .NET Core, Azure technologies, and Azure DevOps.
- Experience designing enterprise applications, APIs, integration platforms, and cloud-native solutions.
- Strong knowledge of SQL Server, relational databases, and modern front-end technologies such as Angular, React, Vue, or Blazor.
- Expertise in architectural patterns, DevOps practices, and modern software engineering methodologies.
Qualifications
Preferred Experience
- Azure AI, Azure OpenAI, AI Foundry, and GenAI solution development.
- AI-driven development practices, prompt orchestration, RAG architectures, and responsible AI governance.
- Microsoft Fabric, Azure Synapse, Azure Data Factory, ETL, and enterprise data platforms.
- Measuring and driving the impact of AI tools on engineering productivity and delivery outcomes.
Additional Information
Not included in the source posting: what you'll do, benefits.
Skills
Who can apply
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