Solutions Architect

Job description

**About the Company** We are looking for an experienced Solution Architect to lead the design of scalable, secure, and enterprise-grade cloud solutions on Microsoft Azure. This role is primarily focused on architecture design, technical solutioning, and stakeholder advisory, with a strong emphasis on data and AI platforms. The ideal candidate will translate business requirements into robust architecture blueprints, define high-level and low-level designs, and guide delivery teams in implementing solutions aligned to Azure best practices, security standards, and operational resilience requirements. **About the Role** This role is primarily focused on architecture design, technical solutioning, and stakeholder advisory, with a strong emphasis on data and AI platforms. **Responsibilities** - Lead end-to-end architecture design for AWS-based enterprise solutions, with a focus on data, analytics, and GenAI platforms. - Create high-level designs (HLDs) and low-level designs (LLDs) covering application, data, integration, security, network, and platform architecture. - Define target-state architectures, architecture roadmaps, and transition plans for cloud adoption, modernization, and migration initiatives. - Ensure solutions align with Well-Architected Framework, including reliability, security, performance efficiency, operational excellence, and cost optimization. - Design for scalability, availability, disaster recovery, backup, observability, and governance. - Provide architecture oversight across the solution lifecycle, including design reviews, risk assessments, and technical decision-making. - Partner with business stakeholders, delivery teams, and leadership to translate functional and non-functional requirements into practical architecture patterns. - Establish reusable reference architectures, design standards, and best practices for solution delivery. - Guide engineering teams during implementation to ensure adherence to approved architecture and enterprise standards. **Qualifications** - Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. **Required Skills** - 8–12 years of experience in cloud, platform, or solution architecture, with strong experience designing enterprise-grade solutions on Azure. - Knowledge of workings of AWS, Cloud, Solution architect, Database knowledge (Cosmos DB, Azure SQL, Neo4j). - Proven expertise in architecture design and solution blueprinting for cloud-native and hybrid environments. - Strong understanding of AWS architecture across data, integration, identity, security, and platform services. - Experience architecting modern data and AI solutions using services such as data lakes, data integration, analytics platforms, governance services, and AI capabilities. - Strong grounding in security, access control, networking considerations, resilience, backup/DR, and operational design. - Ability to define architecture for both structured data platforms and emerging GenAI workloads. - Strong communication skills with the ability to engage technical and non-technical stakeholders. - Experience leading architecture workshops, reviewing designs, and mentoring delivery teams. **Preferred Skills** - Experience with AWS services - Data platform and analytics services - AI/ML and GenAI services - Identity and access management - Governance and data cataloging - Relational, NoSQL, and graph databases - Monitoring and operational tooling **Good to Have** - Familiarity with Infrastructure as Code and automation approaches such as Terraform, ARM/Bicep, or similar tools. - Exposure to DevOps and CI/CD practices in Azure environments. - Experience with enterprise integration patterns and API-based architectures.