Solution Architect – Sr. Data Engineer/Sr. BI Developer (DA&A), Application Engineering – UI – Node.js
Expected Work Experience8 to 12 Years
Job LocationIndia
Job SummaryThe Solution Architect will be the technical owner of the application's architecture, security, integrations, and data layer, serving as the team's main technical voice with client stakeholders. The role combines solution architecture leadership with strong data engineering and BI development capabilities within Data Automation & AI and Application Engineering – UI – Node.js. Candidate must have relevant experience of 8 to 12 Years.
Key Responsibilities• Own the end-to-end architecture across the React frontend, NestJS/GraphQL services, Redis caching, and the Snowflake data layer.
• Design integrations for IQVIA and third-party data sources feeding the application.
• Define security standards including authentication, role-based access, data protection, and compliance controls.
• Lead requirement workshops with senior business stakeholders and turn them into technical designs and estimates.
• Present architecture decisions and weekly technical status to client leadership.
• Guide the architecture for the planned AWS-to-Azure migration.
• Review code and design, set engineering standards, and unblock the team.
• Absorb the existing design from the client and Cognizant during transition and keep architecture documentation current.
• Collaborate with Data Automation & AI teams to ensure robust data pipelines and analytics solutions that align with the overall application architecture.
• Work closely with Sr. Data Engineers and Sr. BI Developers to design scalable data models, reporting solutions, and performance-optimized queries.
• Ensure that UI components built with React and Node.js align with backend and data architecture standards and best practices.
• Support production readiness activities including performance tuning, observability, and resilience design for the application and data platform.
• Provide technical guidance and mentorship to engineering teams on architecture patterns, coding standards, and best practices for data and analytics applications.
• Partner with stakeholders to prioritize technical initiatives and manage architectural risks and dependencies across the solution.
• Strong stakeholder management skills, with the ability to communicate complex technical concepts clearly to senior business and client leaders.
• Ability to operate as the primary technical representative in client discussions, workshops, and governance forums.
• Proven leadership in cross-functional teams, including frontend, backend, data engineering, and BI development.
• Strong problem-solving mindset with a focus on scalability, performance, and maintainability of analytics-driven web applications.
• Comfortable working in fast-paced, global delivery environments and managing multiple priorities.
• Collaborative, inclusive working style with a focus on knowledge sharing and documentation.
• 12+ years in software engineering, with 4+ years as a solution or technical architect on custom web applications.
• Hands-on architecture experience with React/TypeScript frontends and Node.js (NestJS preferred) backends using GraphQL APIs.
• Strong working knowledge of Snowflake, including data modelling, query performance, and secure access patterns for applications.
• Experience in data engineering and BI development for analytics applications, aligned with Data Automation & AI and DA&A practices.
• Caching and performance design for analytics applications, including Redis.
• Experience with AWS and Azure; cloud migration experience is a strong plus, particularly AWS-to-Azure transitions.
• Application security expertise including SSO/OAuth, role-based access control, and data privacy for web and analytics solutions.
• Excellent spoken and written English; comfortable leading workshops with senior executives and client leadership.
• Experience working with Application Engineering – UI – Node.js in enterprise environments.
• Strong understanding of data visualization and BI concepts to support executive dashboards and commercial analytics.
• Ability to create and maintain high-quality architecture and design documentation.