Solutions Architect

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