Solutions Architect is a key technical leadership role responsible for designing and implementing cloud solutions using Microsoft Azure. This position demands a blend of strategic vision, technical expertise, and strong collaboration skills to ensure that business and technical requirements are met through effective cloud architecture.
Key Responsibilities
- Solution Design: Develop high-level architecture and design solutions that meet business and technical requirements.
- Technology Roadmap: Create and maintain a technology roadmap aligned with organizational goals and emerging technologies.
- Guidance and Mentorship: Provide technical leadership and mentorship to development teams, guiding them on best practices and architectural standards.
- Decision Making: Make informed decisions on technology choices, design patterns, and implementation strategies.
- Requirement Gathering: Work closely with business stakeholders to gather and understand requirements, translating them into technical specifications.
- Communication: Act as a bridge between business stakeholders and technical teams, ensuring clear communication and alignment.
- Technical Oversight: Oversee the implementation of architectural solutions, ensuring they adhere to design principles and meet quality standards.
- Integration: Ensure seamless integration of various systems, services, and applications within the Azure ecosystem.
- AI Integration: Architect and integrate Azure AI services, including cognitive services, machine learning models, and AI-driven applications.
- Data Strategy: Develop strategies for data management, including data lakes, data warehousing, and data governance.
- Security Architecture: Design secure solutions that comply with industry standards and regulations, leveraging Azure security services.
- Risk Management: Identify potential security risks and implement measures to mitigate them.
- Monitoring Setup: Establish monitoring and logging practices using Azure Monitor, Application Insights, and Log Analytics.
- Optimization: Continuously monitor and optimize system performance, reliability, and cost-efficiency
Requirements:
- programming Languages: Proficiency in .NET, C#, and other relevant programming languages.
- API Development: Experience with RESTful APIs, GraphQL, and other API technologies.
- Database Management: Knowledge of SQL and NoSQL databases, especially Azure SQL Database, Cosmos DB, etc.
- Azure Platform Expertise
- Azure Architecture: Deep understanding of Azure services, architecture, and best practices.
- Azure DevOps: Knowledge of CI/CD pipelines, Azure DevOps, and related tools.
- Azure AI and Machine Learning: Experience with Azure AI services, Azure Machine Learning, and cognitive services.
- Cloud Architecture and Services
- Cloud Computing Concepts: Strong grasp of cloud computing principles, including IaaS, PaaS, and SaaS.
- Microservices and Containerization: Experience with microservices architecture, Kubernetes, and Docker.
- Serverless Computing: Familiarity with Azure Functions and other serverless technologies.
- Security and Compliance
- Identity and Access Management: Knowledge of Azure Active Directory, OAuth, and other IAM technologies.
- Security Best Practices: Familiarity with security principles and compliance standards (e.g., GDPR, HIPAA).
- Monitoring and Performance Tuning
- Monitoring Tools: Experience with Azure Monitor, Application Insights, and Log Analytics.
- Performance Optimization: Skills in tuning and optimizing applications and services for better performance.
Experience and Certification:
- Experience with Agile methodologies and project management tools.
- Certifications (Preferred)
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: DevOps Engineer Expert
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Last updated on Aug 29, 2024