Integration Architect

Job Title

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