Kafka Architect

ZipRecruiter; Leeds; On-site; GBP 50,000 - 90,000; Full time

Job description

Job Description

Job Title: Kafka Architect

Get The Future You Want!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

A Kafka Real-Time Architect is responsible for designing and implementing scalable, real-time data processing systems in Kafka. This role involves architecting Kafka cluster, ensuring high availability, and integrating with other data processing tools and platforms. As part of the CTO Data Ingestion Service, the incumbent will be required to:

1. Design and architect scalable, real-time systems in Kafka.
2. Configure, deploy, and maintain Kafka clusters to ensure high availability and scalability.
3. Integrate Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink, and Beam.
4. Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
5. Implement security measures to protect Kafka clusters and data streams.
6. Monitor Kafka performance and troubleshoot issues to ensure optimal performance. Provide technical guidance and support to development operations teams.
7. Stay updated with the latest Kafka features, updates, and industry practices.
8. Have extensive experience with Apache Kafka and real-time architecture including event-driven frameworks.
9. Possess strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam.
10. Have experience with cloud platforms such as GCP Pub/Sub.
11. Exhibit excellent problem-solving skills.

Your Profile

1. Knowledge of Kafka data pipelines and messaging solutions to support critical business operations and enable real-time data processing.
2. Monitor Kafka performance, enhancing decision-making and operational efficiency.
3. Collaborate with development teams to integrate Kafka applications and services.
4. Maintain an architectural library for Kafka deployment models and patterns.
5. Help developers to maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topic schemas, to streamline data ingestion from databases, NoSQL data stores, and cloud storage, enabling faster data insight.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.

Get The Future You Want | www.capgemini.com