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- Tasks: Design and implement scalable Kafka architectures for real-time data processing.
- Company: Join a dynamic team focused on cutting-edge data streaming solutions.
- Benefits: Enjoy flexible work with 2 days onsite and opportunities for growth.
- Why this job: Be at the forefront of data technology, mentoring juniors and collaborating with diverse teams.
- Qualifications: Strong experience with Apache Kafka and Cloudera, plus proficiency in Java, Scala, or Python.
- Other info: This role offers a chance to lead and innovate in a fast-paced environment.
The predicted salary is between 48000 - 84000 £ per year.
Location: Leeds (2 days/week Onsite)
Duration: 06+ Months
Job Summary: We are looking for an experienced Kafka Architect to design and implement scalable, high-throughput data streaming solutions using Apache Kafka on Cloudera (on-premises). The ideal candidate will have a strong background in distributed systems, data pipelines, and real-time data processing.
Key Responsibilities:
- Design and implement scalable Kafka-based architectures using open-source Kafka on Cloudera on-premises infrastructure.
- Lead the setup, configuration, and optimization of Kafka clusters.
- Define standards and best practices for Kafka producers, consumers, and streaming applications.
- Integrate Kafka with various data sources, storage systems, and enterprise applications.
- Monitor Kafka performance and ensure high availability, fault tolerance, and data security.
- Collaborate with DevOps, Data Engineering, and Application teams to support real-time data needs.
- Automate deployment and configuration using tools like Ansible, Terraform, or Cloudera Manager.
- Provide technical leadership and mentorship to junior team members.
Required Skills:
- Strong hands-on experience with Apache Kafka (including Kafka Connect, Kafka Streams).
- Experience with Cloudera distribution for Kafka on on-premises environments.
- Proficiency in designing high-volume, low-latency data pipelines.
- Solid knowledge of Kafka internals – topics, partitions, consumer groups, offset management, etc.
- Experience with data serialization formats like Avro, JSON, Protobuf.
- Proficient in Java, Scala, or Python for Kafka-based development.
- Familiarity with monitoring tools (Prometheus, Grafana, Confluent Control Center, etc.).
- Understanding of networking, security (SSL/SASL), and data governance.
- Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is a plus.
Kafka Architect- Cloudera employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Kafka Architect- Cloudera
✨Tip Number 1
Network with professionals in the data engineering and Kafka communities. Attend meetups, webinars, or conferences related to Apache Kafka and Cloudera to connect with potential colleagues and learn about industry trends.
✨Tip Number 2
Showcase your hands-on experience with Kafka by contributing to open-source projects or creating your own projects. This practical experience can be a great conversation starter during interviews and demonstrates your skills effectively.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Kafka internals and data pipeline design. Be ready to discuss specific challenges you've faced and how you overcame them in previous roles.
✨Tip Number 4
Familiarise yourself with the tools mentioned in the job description, such as Ansible, Terraform, and monitoring tools like Prometheus and Grafana. Having a solid understanding of these tools will help you stand out as a candidate who is ready to hit the ground running.
We think you need these skills to ace Kafka Architect- Cloudera
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Kafka, Cloudera, and any relevant programming languages like Java, Scala, or Python. Emphasise your hands-on experience with data pipelines and real-time data processing.
Craft a Strong Cover Letter: In your cover letter, explain why you are the ideal candidate for the Kafka Architect position. Mention specific projects where you've designed scalable architectures or optimised Kafka clusters, and how your skills align with the job requirements.
Showcase Relevant Projects: If you have worked on projects involving Kafka, Cloudera, or similar technologies, include them in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your expertise.
Highlight Collaboration Skills: Since the role involves collaboration with various teams, mention any experience you have working with DevOps, Data Engineering, or Application teams. Highlight your ability to lead and mentor junior team members as well.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Apache Kafka and Cloudera. Highlight specific projects where you've designed scalable architectures or optimised Kafka clusters, as this will demonstrate your capability to meet the job's technical requirements.
✨Understand the Key Responsibilities
Familiarise yourself with the key responsibilities listed in the job description. Be ready to explain how your previous experiences align with these tasks, especially around integrating Kafka with data sources and ensuring high availability.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you had to troubleshoot Kafka performance issues or implement best practices for data security and fault tolerance.
✨Demonstrate Leadership and Collaboration Skills
Since the role involves providing technical leadership and collaborating with various teams, prepare to discuss instances where you've mentored junior team members or worked cross-functionally. This will show your ability to lead and work well within a team.
