Senior Manager, Associate Director, Enterprise Integration Architect

Overview

As an Enterprise Integration Architect, you will shape Kafka-based, real-time data platforms and embed AI capabilities into AI-enabled applications. You will define the technical vision and lead end-to-end design from concept to production, ensuring scalability, security and low latency. You will collaborate with product owners, data scientists and engineering teams to deliver high-impact streaming and AI solutions. This role offers exposure to cutting-edge technologies and a chance to influence architectural patterns and governance. You’ll work in a collaborative, values-driven environment with a clear focus on measurable impact.

Pay / Benefits

• training and skill development platforms (A Cloud Guru, Udemy, LinkedIn Learning)
• certifications and training programmes
• flexible/hybrid working
• support for work-life balance
• opportunity to work with cutting-edge technology
• career development and growth

Responsibilities

• Lead design, development and deployment of complex Kafka-based event-driven platforms and AI-powered applications across multiple business domains.
• Define architectural principles and governance for Kafka clusters, topics, schemas, and streaming processes with a focus on security and maintainability.
• Translate business needs into architectures including event models, integration patterns, and deployment strategies for streaming and AI applications.
• Evaluate technologies such as Kafka Streams, ksqlDB, Apache Flink, Schema Registry, and real-time feature stores for ML/AI use cases.
• Utilize AI-powered methods to accelerate design, documentation, and development processes (e.g., GenAI for code and pattern suggestions).
• Design real-time data pipelines supporting AI/ML training and inference, including feature engineering and event-driven triggers.
• Provide technical leadership and mentorship on Kafka and AI solution delivery.
• Ensure data privacy, ethical AI and regulatory compliance (GDPR, AI Act); enforce Kafka security best practices.

Key requirements

• Proven experience in Senior Integration or Solution Architect roles focused on Kafka-based platforms and AI-driven applications.
• Strong hands-on experience with Apache Kafka, Kafka Connect, Kafka Streams, ksqlDB, Schema Registry, and Confluent Platform / Confluent Cloud.
• Knowledge of generative AI models and real-time AI integration in event-driven designs.
• Experience with stream processing frameworks (Kafka Streams, Apache Flink, Spark Structured Streaming) and ML/AI frameworks (TensorFlow, PyTorch) for real-time inference.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data governance, security best practices for Kafka/AI solutions.
• Experience running Kafka on Kubernetes (Strimzi) and observability tools (Prometheus, Grafana, Confluent Control Center).
• Strong communication and stakeholder management; ability to mentor teams and contribute to business development.

• Excellent communication and presentation skills
• Stakeholder management
• Mentorship and leadership
• Apache Kafka
• Kafka Connect
• Kafka Streams

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