.NET Enterprise Architect
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Job Description
.NET Enterprise Architect leading enterprise architecture and integration strategies for digital transformation initiatives. Seeking a candidate with deep .NET experience.
Responsibilities:
- Define and drive enterprise architecture strategy aligned with business objectives and IT roadmap
- Lead the design and implementation of end-to-end integration solutions using MuleSoft Anypoint Platform
- Architect scalable and secure solutions leveraging .NET (C#, ASP.NET Core, Web APIs)
- Design and implement API-led connectivity frameworks (System, Process, Experience APIs)
- Collaborate with business stakeholders to translate requirements into architecture blueprints and solution designs
- Establish integration patterns, best practices, and reusable frameworks
- Provide technical leadership across microservices, cloud-native applications, and distributed systems
- Ensure compliance with security, governance, and data privacy standards
- Mentor development teams and conduct architecture reviews and code quality assessments
- Drive adoption of DevOps, CI/CD pipelines, and automation strategies
- Evaluate and recommend emerging technologies and tools for continuous improvement
Requirements:
- Strong expertise in .NET Framework / .NET Core / ASP.NET Core
- Extensive experience in C#, RESTful APIs, Web Services
- Solid understanding of microservices architecture
- Experience with Azure / AWS / GCP cloud platforms
- Proficiency in CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
- Experience with Docker, Kubernetes (AKS/EKS)
- Strong experience in enterprise architecture frameworks (TOGAF preferred)
- Expertise in design patterns, system scalability, and performance tuning
- Experience in event-driven architecture (Kafka, Service Bus, etc.)
- Strong knowledge of SQL Server / NoSQL databases
- Understanding of data integration and ETL processes
- Experience in multi-cloud or hybrid cloud environments (Nice to Have)
- Knowledge of security frameworks (OAuth2, JWT, SSO, IAM) (Nice to Have)
- Exposure to AI/ML integrations or modern data platforms (Nice to Have)
- Certifications in MuleSoft, Azure, or AWS (Nice to Have)
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