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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