Solution Architect

About the Role

Solution Architect

Key Responsibilities

1. Solution Design & Architecture

• Design end-to-end solution architectures for enterprise applications and systems.
• Translate business requirements into technical specifications and solutions.
• Ensure solutions align with enterprise architecture standards, security policies, and best practices.

1. Technical Leadership

• Guide development teams on solution implementation and integration.
• Evaluate new technologies, frameworks, and tools to recommend innovative solutions.
• Provide mentorship and technical expertise to developers and engineers.

1. Stakeholder Collaboration

• Work with business stakeholders to understand requirements and propose suitable solutions.
• Collaborate with cross-functional teams (cloud, infrastructure, security, data, and applications).
• Support project managers in defining scope, timelines, and cost estimates.

1. System Integration

• Design APIs, microservices, and integration solutions.
• Ensure seamless interoperability between systems and third-party platforms.

1. Documentation & Governance

• Maintain architecture blueprints, diagrams, and technical documentation.
• Ensure compliance with governance frameworks, risk management, and data security standards.

Requirements

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Information Technology, or related field.
• Proven experience (8+ years) as a Solution Architect or similar role.
• Strong expertise in:

• Cloud Platforms:

  AWS, Azure, or GCP

• Architecture Styles:

  Microservices, SOA, Event-driven architecture

• Programming:

  Java, .NET, Python, or equivalent

• Databases:

  SQL/NoSQL

• APIs & Integration:

  REST, GraphQL, SOAP
• Excellent knowledge of cybersecurity, scalability, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Certifications such as AWS Certified Solutions Architect, TOGAF, or Microsoft Certified Architect.
• Experience in DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Knowledge of AI/ML, Data Analytics, or IoT solutions.