Lead Solutions Architect

Lead Solutions Architect would lead the end-to-end architecture, design governance, and technical transition of MVP applications into secure, scalable, production-grade enterprise solutions. The role would drive architecture decisions across applications, integrations, platform services, security, and deployment patterns to enable a robust multi-tenant SaaS operating model. The architect would ensure the solution aligns with enterprise standards for scalability, resilience, security, performance, observability, and maintainability across Azure-based environments and coordinated delivery with partner engineering teams.

Architecture Strategy & Solution Design
• Lead end-to-end architecture design across application, platform, integration, and security domains.
• Define and govern target-state architecture for production-grade SaaS platforms.
• Establish architecture principles, standards, and reusable design patterns.
• Review and approve key technical designs, integration patterns, data flows, and deployment strategies.
Application Modernization & SaaS Enablement
• Drive transformation of MVP / prototype applications into production-ready platforms.
• Define architecture for multi-tenant SaaS deployment, tenant isolation, configuration strategies, and shared services.
• Guide database evolution, caching, API design, platform services, and system decomposition.
• Partner with engineering and product teams to prioritize architectural runway and reduce technical debt.
Cloud, Integration & Security Architecture
• Architect cloud-native solutions on Azure, with awareness of equivalent patterns in AWS where required.
• Define secure integration approaches including APIs, identity federation, secrets management, and network controls.
• Ensure security-by-design across application architecture, cloud services, data access, and DevOps pipelines.
• Support API gateway, observability, and reliability architecture decisions.
Governance & Engineering Leadership
• Lead architecture review boards, design assurance checkpoints, and technical governance forums.
• Provide technical leadership to development, DevOps, QA, and partner delivery teams.
• Ensure alignment between business objectives, product roadmap, and technical execution.
• Support release governance, quality gates, CAB readiness, and long-term platform sustainability.
Required Technical Skills
• Enterprise & Solution Architecture | Advanced — application architecture, distributed systems, APIs, integration patterns, architecture governance
• Azure Cloud | Advanced — App Services, Functions, Storage, Key Vault, Entra ID / AAD, networking, monitoring
• SaaS / Multi-tenant Design | Advanced — tenant isolation, shared services, data partitioning, scalability patterns
• Security Architecture | Advanced — IAM, RBAC, secrets management, Zero Trust principles, secure integration design
• DevOps & Release Architecture | Proficient — CI/CD, deployment strategies, environment design, observability, release quality gates
• Data & Integration | Proficient — relational databases, migration patterns, APIs, event-driven and service-based integration models
Required Experience
• Minimum 12 years of professional experience in software engineering / solution architecture.
• Proven experience in defining and governing architecture for enterprise-grade digital platforms.
• Strong experience in scaling MVP / prototype applications into secure, production-ready solutions.
• Hands-on experience with cloud-native application architecture, integration strategy, and non-functional architecture.
• Experience enabling SaaS and multi-tenant architectures for enterprise or external-facing products.
• Proven ability to drive architecture governance across multiple teams and delivery partners.
• Experience in security, performance, resilience, and observability architecture for business-critical systems.
Preferred (Not Required)
• Experience in digital product engineering within infrastructure, consulting, engineering, or environmental sectors.
• Exposure to GIS / geospatial systems, map services, or spatial data platforms.
• Experience with AI-enabled applications, document intelligence, or data platforms.
• Experience working in partner-led or multi-vendor delivery models.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

• 14+ years of hands-on experience in software engineering, architecture, or enterprise solution design.

BGV:

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.

• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.