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- Tasks: Design and implement scalable, real-time data processing systems using Kafka.
- Company: Capgemini is a global leader in business and technology transformation, with a diverse team of 350,000 members.
- Benefits: Enjoy a collaborative work environment, opportunities for growth, and the chance to make a social impact.
- Why this job: Join a forward-thinking company and work on cutting-edge technology that shapes the future.
- Qualifications: Extensive experience with Apache Kafka and real-time architecture; strong problem-solving skills required.
- Other info: Be part of a responsible group committed to sustainability and digital transformation.
The predicted salary is between 43200 - 72000 £ per year.
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.
A Kafka Real-Time Architect is responsible for designing and implementing scalable, real-time data processing systems in Kafka. This role involves architecting Kafka clusters, 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:
- Designing and architecting scalable, real-time systems in Kafka.
- Configuring, deploying, and maintaining Kafka clusters to ensure high availability and scalability.
- Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam.
- Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs.
- Implementing security measures to protect Kafka clusters and data streams.
- Monitoring Kafka performance and troubleshooting issues to ensure optimal performance.
- Providing technical guidance and support to development operations teams.
- Staying updated with the latest Kafka features, updates, and industry practices.
Extensive experience with Apache Kafka and real-time architecture including event-driven frameworks. Strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam. Experience with cloud platforms such as GCP Pub/Sub. Excellent problem-solving skills.
Your Profile:
- Knowledge of Kafka data pipelines and messaging solutions to support critical business operations and enable real-time data processing.
- Monitoring Kafka performance, enhancing decision making and operational efficiency.
- Collaborating with development teams to integrate Kafka applications and services.
- Maintain an architectural library for Kafka deployment models and patterns.
- Helping developers to maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topics 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.
Kafka Architect employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Kafka Architect
✨Tip Number 1
Familiarise yourself with the latest features and updates in Apache Kafka. Being well-versed in the most recent advancements will not only boost your confidence during discussions but also demonstrate your commitment to staying current in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the Kafka community. Attend meetups, webinars, or online forums where you can connect with others who share your interests. This can lead to valuable insights and potentially even referrals for job opportunities.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully implemented Kafka solutions. Be ready to discuss specific challenges you faced and how you overcame them, as this will highlight your practical experience.
✨Tip Number 4
Research Capgemini's approach to data ingestion and real-time processing. Understanding their specific methodologies and technologies will allow you to tailor your conversations and demonstrate how your skills align with their needs.
We think you need these skills to ace Kafka Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Kafka Architect. Familiarise yourself with the key technologies mentioned in the job description, such as Kafka Streams, Spark Streaming, and cloud platforms like GCP Pub/Sub.
Tailor Your CV: Customise your CV to highlight relevant experience with Apache Kafka and real-time architecture. Emphasise your problem-solving skills and any previous work with data processing tools that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your understanding of how Kafka can drive business value. Mention specific projects or experiences that demonstrate your expertise in designing scalable systems.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, be sure to include examples of past collaborations in your application. Show how you’ve successfully worked with others to meet business needs and deliver solutions.
How to prepare for a job interview at Capgemini
✨Showcase Your Kafka Expertise
Make sure to highlight your extensive experience with Apache Kafka and real-time architecture during the interview. Be prepared to discuss specific projects where you've designed and implemented scalable Kafka systems, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Understand Integration Tools
Familiarise yourself with the various data processing tools mentioned in the job description, such as Kafka Streams, Kafka Connect, and Spark Streaming. Being able to discuss how these tools integrate with Kafka will show that you can collaborate effectively with cross-functional teams.
✨Emphasise Security Measures
Since implementing security measures is a key responsibility, be ready to talk about your experience with securing Kafka clusters and data streams. Discuss any specific strategies or tools you've used to protect sensitive data, which will highlight your attention to detail and commitment to best practices.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing the latest Kafka features and industry practices. Showing that you stay informed about advancements in technology will reflect your dedication to continuous learning and improvement, which is highly valued in a dynamic environment like Capgemini.
