Meaningful work,
meaningful life

The Solution Architect will lead the end-to-end architecture design and technology strategy for the Legacy system modernization program. This role is responsible for defining a scalable, secure, and AI-enabled enterprise architecture, ensuring seamless integration with peripheral systems and alignment with the enterprise data foundation.

Key Responsibilities

1. Architectural Design & Governance

- Define end-to-end architecture across frontend, backend, data, and integration layers

- Design microservices-based architecture with clear domain boundaries

- Establish integration architecture patterns (API, Streaming, File-based, CDC)

- Define data architecture strategy aligned with enterprise data foundation

- Ensure high availability, scalability, and performance benchmarks are met

- Establish architecture governance frameworks, design standards, and review processes

2. Enterprise Data & Analytics Architecture

- Design data flow between transactional systems and enterprise data platforms

- Define data ingestion, transformation, and canonical data models

- Ensure data consistency, lineage, and governance

- Align application architecture with analytics, reporting, and AI/ML needs

3. Integration & Ecosystem Design

- Architect integration with enterprise systems (e.g. SAP/HANA, Siebel, EDW, other peripheral systems)

- Define multi-pattern integration strategy: Real-time APIs, Event streaming, Batch/file-based ingestion

- Ensure fault-tolerant, scalable, and secure integrations

- Design decoupled integration layer for long-term flexibility

- Understanding of enterprise integration patterns

4. Technology Selection & Standardization

- Evaluate and recommend technology stack (backend, frontend, integration, AI/ML)

- Define standards for API design (REST, event-driven), Database usage (HANA/Postgres where applicable), Observability (logging, monitoring, tracing)

- Ensure future-ready and cloud-native architecture

5. Security, Compliance & Risk Management

- Define security architecture SSO, OAuth2, RBAC, API security, Data protection (PII masking, encryption)

- Ensure compliance with OWASP Top 10, Enterprise security policies, Identify and mitigate architectural risks and performance bottlenecks

6. DevOps & Delivery Enablement

- Guide teams on CI/CD, DevSecOps, and release management

- Define environment strategy (Dev, Test, UAT, Prod)

- Ensure automation-first approach (deployment, testing, monitoring)

- Support performance engineering and non-functional validation

8. Stakeholder Collaboration & Leadership

- Work closely with Business stakeholders, Product owners, Engineering teams, Data & AI teams

- Translate business requirements into scalable technical solutions

- Provide technical leadership, mentoring, and design reviews

9. Documentation & Compliance

- Maintain architecture artifacts HLD, Solution Architecture, Integration Design

Technical Skills, Design & Leadership Competencies

- Strong expertise in Microservices architecture, Distributed systems design, API-first design, Event-driven architecture

- Experience in designing High-performance, High-availability, Scalable enterprise systems

- Strong experience with Java 17+, Spring Boot ecosystem

- Experience in API design, orchestration, and workflow engines

- Knowledge of containerization (Docker, Kubernetes)

- Experience with PostgreSQL 15+

- Exposure to SAP HANA / Enterprise DWH concepts (preferred)

- Strong understanding of Data modeling, Data migration strategies, Data governance

- Exposure with Amazon Web Services (AWS) Compute, Storage, Networking, Messaging (SQS/Kafka), Monitoring (CloudWatch, Prometheus)

- Experience in CI/CD pipelines and DevSecOps practices

- Exposure with API gateways, Message brokers (Kafka/SQS), File-based and batch integration

- Ability to design Future-ready, extensible systems, Secure and compliant architectures, Performance-optimized solutions

General

- Strong analytical and problem-solving skills

- Excellent communication skills for both technical and business audiences

- Experience in large-scale transformation programs

Experience & Qualification

- Experience: 15+ years in software engineering, with 5+ years in architecture roles

- Education: B.Tech / BE in Computer Science or equivalent

Good-to-Have

- Experience with SAP HANA / BW concepts

- Experience in automotive or manufacturing domain

- Experience in data-intensive enterprise systems

- Experience in AI/ML & RAG based Intelligent Systems design