Role Overview
The Enterprise Architect (EA) is responsible for defining, governing, and evolving the enterprise-wide technology architecture across multi-product platforms in banking, e-commerce, and e-learning domains. The role ensures alignment between business strategy, product roadmaps, and technology execution, while enabling scalability, security, performance, and long-term sustainability.
The EA establishes architectural standards and guardrails for cloud-native, API-driven, and domain-aligned platforms, and works closely with Solution Architects, Engineering Leads, Product, Security, and Business stakeholders.
Key Responsibilities
- Define and maintain enterprise architecture blueprints, principles, standards, and reference architectures
- Translate business and product strategy into target-state and transition architectures
- Lead architecture governance and review solution designs for alignment, scalability, security, and compliance
- Identify architectural risks, technical debt, and modernization opportunities
- Define enterprise cloud strategy across SaaS, PaaS, and IaaS deployment models
- Govern cloud-native application design using managed services, containers, and platform services
- Drive best practices for scalability, resilience, availability, disaster recovery, and cost optimization
- Ensure alignment between application architecture and cloud operations (DevOps, SRE)
- Establish enterprise standards for microservices, REST and GraphQL APIs, and event-driven systems
- Define integration patterns for internal services and third-party platforms
- Ensure loose coupling, reuse, and interoperability across multiple GTI products
- Define enterprise data architecture covering transactional, analytical, and streaming workloads
- Govern database usage, data consistency, performance, and data lifecycle management
- Ensure data security, privacy, and regulatory compliance across platforms
- Define enterprise security architecture covering IAM, encryption, secure APIs, and data protection
- Ensure compliance with industry standards and regulations (PCI-DSS, GDPR, SOC2, etc)
- Embed security-by-design principles across all platforms and delivery teams
- Guide technology modernization initiatives and adoption of emerging technologies
- Mentor Solution Architects, Tech Leads, and senior engineers on architectural best practices
- Act as a strategic bridge between business leadership and engineering teams
- Clearly communicate architectural decisions to technical and non-technical stakeholders
Technology Stack Coverage
- Backend: Python (FastAPI, Django), PHP (Laravel/Symfony), Nodejs
- API Architecture: REST, GraphQL, API gateways
- Architecture Styles: Microservices, distributed and event-driven systems
- Web: React.js, Next.js, modern JavaScript ecosystems
- Mobile: Flutter (Dart), Android, iOS
- Streaming & Messaging: Apache Kafka, managed streaming services
- Big Data & Analytics: Data Lakes, distributed processing frameworks (e.g., Spark)
- Data Ingestion & Pipelines: Batch and real-time pipelines
- Schema governance, data quality, and observability standards
- Channel-agnostic, API-driven UI integration patterns
- Relational: PostgreSQL, MySQL
- NoSQL & Caching: MongoDB, Redis
- Data governance, performance, and scalability standards
- Cloud Platforms: AWS, Azure, Google Cloud
- Deployment Models: SaaS, PaaS, IaaS
- Containers & Orchestration: Docker, Kubernetes
- CI/CD & IaC: Jenkins, Git-based pipelines, Terraform
Required Skills & Qualifications
- 12 - 15 years of experience in software engineering and architecture roles
- 5+ years in Enterprise / Principal / Platform Architect roles
- Strong expertise in enterprise architecture, cloud-native systems, and distributed platforms
- Proven experience governing multi-product, multi-domain platforms
- Strong understanding of security, compliance, and regulated environments
- Excellent stakeholder management, communication, and decision-making skills
Preferred Qualifications
- TOGAF or equivalent enterprise architecture certification
- Cloud Architect certifications (AWS, Azure, GCP)
- Exposure to AI/ML platforms and data engineering ecosystems is a plus
Pay: Up to ₹5,000,000.00 per year
Work Location: In person
