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- Tasks: Design and implement scalable, real-time data processing systems using Kafka.
- Company: Join a dynamic team in Leeds, focused on cutting-edge data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of real-time data architecture and make a significant impact.
- Qualifications: Extensive experience with Apache Kafka and real-time architecture is essential.
- Other info: This is a contract role, perfect for tech-savvy individuals looking to innovate.
The predicted salary is between 48000 - 72000 £ per year.
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.
- 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.
Required Skills Experience:
- 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.
Knowledge & Experience / Qualifications:
- 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.
Kafka Architect employer: PURVIEW
Contact Detail:
PURVIEW 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 knowledgeable about recent advancements can give you an edge during discussions with our team, showcasing your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the Kafka community. Engaging with others who work with Kafka can provide insights into best practices and may even lead to referrals or recommendations that could help you land the job.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented Kafka solutions. Be ready to share specific examples of how you've designed scalable systems or resolved performance issues, as this will demonstrate your practical experience.
✨Tip Number 4
Showcase your collaborative skills by highlighting past experiences working with cross-functional teams. Emphasising your ability to communicate effectively with different stakeholders will be crucial, as collaboration is key in this role.
We think you need these skills to ace Kafka Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience with Apache Kafka and real-time architecture. Include specific projects where you've designed scalable systems and mention any relevant tools like Kafka Streams, Spark Streaming, or Flink.
Craft a Strong Cover Letter: In your cover letter, emphasise your problem-solving skills and your ability to collaborate with cross-functional teams. Mention how you stay updated with the latest Kafka features and industry practices, as this shows your commitment to the field.
Showcase Relevant Experience: When detailing your work experience, focus on your roles involving Kafka cluster configuration, deployment, and maintenance. Highlight any instances where you've implemented security measures or monitored performance to ensure optimal operation.
Prepare for Technical Questions: Be ready to discuss your knowledge of Kafka data pipelines and messaging solutions during interviews. Prepare examples of how you've integrated Kafka with other data processing tools and how you've helped development teams streamline data ingestion.
How to prepare for a job interview at PURVIEW
✨Showcase Your Kafka Expertise
Make sure to highlight your extensive experience with Apache Kafka and real-time architecture. Be prepared to discuss specific projects where you've designed and implemented scalable data processing systems using Kafka.
✨Demonstrate Integration Skills
Discuss your experience integrating Kafka with other data processing tools like Kafka Streams, Spark Streaming, and Flink. Provide examples of how you’ve collaborated with cross-functional teams to meet business needs through these integrations.
✨Problem-Solving Scenarios
Prepare to share examples of how you've tackled performance issues in Kafka clusters. Highlight your troubleshooting skills and any specific measures you've implemented to ensure high availability and optimal performance.
✨Stay Updated on Industry Practices
Show your enthusiasm for the field by discussing the latest Kafka features and industry practices. This demonstrates your commitment to continuous learning and staying ahead in the rapidly evolving tech landscape.
