Integration Architect - Data & Integration

Role: Integration Architect - Data & Integration

Location: Nagpur / Pune / Hyderabad (No Hybrid or Remote option).

Employment Type: Full-Time with Quanta Systems Technologies LLP (Quantum Integrators)

Shift Time: UK Shift (02.00 PM to 11.00 PM IST)

Job Summary:

We are looking for an experienced Integration Architect with strong expertise in data integration, API integration, enterprise integration patterns, and modern data platforms.

The candidate will be responsible for designing scalable and secure integration architectures across applications, databases, cloud platforms, and enterprise data systems.

The ideal candidate should have strong experience in data architecture, ETL/ELT, APIs, event-driven integration, cloud technologies, and data governance, along with the ability to work with business and technical stakeholders.

Required Experience:

• 12+ years of overall IT experience.
• 5+ years of experience in integration architecture / data integration.
• Experience in designing and implementing enterprise-scale integration solutions.
• Experience working with multiple applications, data sources, and technology platforms.
• Strong communication and stakeholder-management skills.
• Ability to translate business requirements into scalable technical architecture.

Key Responsibilities:

• Design and implement end-to-end integration architecture for enterprise applications and data platforms.
• Define integration strategies for application-to-application, application-to-data, and data-to-data integrations.
• Design scalable ETL/ELT pipelines for batch and real-time data integration.
• Define data flow, data mapping, transformation, validation, and reconciliation processes.
• Design and implement API-based integrations, including REST and SOAP APIs.
• Work with event-driven architectures using technologies such as Kafka or similar messaging platforms.
• Develop integration patterns using ESB, API Gateway, message queues, and event streaming technologies.
• Design integrations between cloud platforms, on-premises applications, databases, SaaS applications, and enterprise systems.
• Define data models, schemas, data contracts, and integration standards.
• Ensure data quality, consistency, security, lineage, and governance across integration solutions.
• Collaborate with Data Architects, Solution Architects, Application Teams, DevOps, and Business Teams.
• Review existing integration architecture and identify opportunities for modernization and optimization.
• Define non-functional requirements including scalability, availability, performance, security, monitoring, and disaster recovery.
• Create architecture diagrams, integration specifications, data-flow diagrams, and technical documentation.
• Provide technical guidance to development and integration teams.

Required Technical Skills:

Data & Integration:

• Strong experience in Data Integration and Enterprise Integration Architecture.
• Strong understanding of ETL/ELT concepts and data pipelines.
• Experience with data mapping, transformation, data validation, and reconciliation.
• Strong understanding of batch and real-time data integration.
• Experience with integration patterns and architecture principles.

API & Messaging:

• REST/SOAP APIs
• API Gateway and API Management
• Kafka or other event-streaming platforms
• Message queues / asynchronous integration
• Event-driven architecture

Data Technologies:

• Strong SQL and database concepts.
• Experience with relational and/or NoSQL databases.
• Experience with data warehouses and data lakes.
• Knowledge of cloud data platforms such as Snowflake, BigQuery, Azure Data Lake, AWS, or similar is preferred.

Cloud & DevOps:

• Experience with one or more cloud platforms: AWS, Azure, or GCP.
• Understanding of CI/CD, containerization, and infrastructure automation.
• Experience with monitoring, logging, and troubleshooting integration solutions.

Architecture & Governance:

• Enterprise integration patterns and best practices.
• Data governance and data security.
• Data lineage and metadata management.
• Authentication and authorization mechanisms such as OAuth2, JWT, and certificates.
• Encryption and secure data transfer.
• High availability, scalability, performance, and disaster recovery.