Integration Architect

Experience: 10+ years

Must Have Technical/Functional Skills
Java, Kafka & Streaming

Roles & Responsibilities

• Define enterprise-wide integration architecture, standards, and best practices.
• Design scalable, resilient, and secure integration solutions using Java, Kafka, and streaming technologies.
• Establish integration and messaging patterns for microservices, APIs, and event-driven systems.
• Develop target-state architecture and roadmap for modernization initiatives.
• Drive adoption of event-driven architecture (EDA) and real-time data integration frameworks.
• Lead architecture and design discussions with business and technology stakeholders.
• Design end-to-end integration solutions across cloud, on-premises, and hybrid platforms.
• Create high-level and low-level design documents, architecture diagrams, and technical specifications.
• Evaluate and recommend tools, frameworks, and technologies supporting business objectives.
• Design enterprise Kafka architecture including:
• Topics and partition strategies
• Consumer groups
• Replication and failover mechanisms
• Schema Registry
• Kafka Connect
• Kafka Streams
• Define standards for event modeling, event governance, and message schemas.
• Architect real-time streaming solutions for high-volume and low-latency processing.
• Ensure scalability, fault tolerance, disaster recovery, and operational excellence of Kafka platforms.
• Establish monitoring and observability frameworks for streaming applications.
• Define architectural standards for Java and Spring Boot-based applications.
• Design microservices-based integration solutions leveraging Kafka and REST APIs.
• Guide development teams in implementing loosely coupled and scalable services.
• Establish coding standards, security practices, and architectural guardrails.
• Drive API management and service lifecycle governance.
• Architect integration solutions on cloud platforms such as:
• AWS (MSK, ECS, EKS, Lambda, EventBridge, S3)
• Azure (Event Hub, Service Bus, AKS)
• Design containerized and Kubernetes-based deployment architectures.
• Collaborate with Platform Engineering teams on infrastructure and automation strategies.
• Support hybrid cloud and multi-cloud integration initiatives.
• Define CI/CD standards for integration and streaming platforms.
• Promote Infrastructure as Code (Terraform, CloudFormation) and deployment automation.
• Ensure observability using Splunk, Grafana, Prometheus, ELK, and other monitoring tools.
• Drive operational excellence and Site Reliability Engineering (SRE) practices.
• Java (8/11/17+)
• Spring Boot, Spring Cloud
• Apache Kafka
• Kafka Streams
• Kafka Connect
• Confluent Platform
• REST APIs & Microservices