Solutions Architect

Key Responsibilities:

• Architecture & Design:
• Design end-to-end solutions using .NET Core / .NET Framework and Azure cloud services
• Lead modernization of legacy systems and guide cloud-native architecture design
• Define solution blueprints, reference architectures, and integration strategies
• Cloud & DevOps:
• Implement Azure services including App Services, Azure Functions, Azure SQL, Azure Storage, and API Management
• Collaborate with DevOps teams to ensure CI/CD pipelines, infrastructure-as-code (ARM/Bicep/Terraform), and monitoring solutions are in place
• Data & AI Integration:
• Architect data pipelines and solutions using Azure Data Factory, Azure Synapse, Snowflake or Databricks
• Integrate AI services (e.g., Azure OpenAI, Cognitive Services, ML Studio) into business applications
• Ensure data governance, security, and compliance in AI-enabled workflows
• Collaboration & Leadership:
• Work closely with business stakeholders, developers, and analysts to understand requirements and provide technical leadership
• Conduct architecture reviews, code walkthroughs, and mentor engineering teams
• Present solution approaches to executive and technical audiences

Required Qualifications:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of software development experience with .NET (C#, ASP.NET, .NET Core)
• 5+ years of hands-on Azure architecture and solution design experience
• Strong understanding of Azure PaaS services and microservices architecture
• Experience in relational and non-relational data solutions (SQL Server, Cosmos DB, etc.)
• Exposure to AI/ML tools in Azure, OpenAI integration, or data-driven intelligent systems
• Familiarity with messaging, integration patterns (e.g., Service Bus, Event Grid, Logic Apps)

Preferred Qualifications:

• Azure Solutions Architect Expert or other relevant certifications
• Experience modernizing monolithic applications to microservices
• Knowledge of Power BI, Snowflake, or other analytics platforms
• Understanding of AI ethics, security, and privacy considerations in solution design

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• Ability to work cross-functionally in global teams
• Passion for innovation and continuous learning

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