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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 professional growth.
- Why this job: Be at the forefront of technology, shaping the future of data streaming.
- Qualifications: Strong experience with Apache Kafka and Cloudera required; coding skills in Java, Scala, or Python preferred.
- Other info: Opportunity to mentor junior team members and lead innovative projects.
The predicted salary is between 43200 - 72000 £ 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: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Kafka Architect- Cloudera
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Apache Kafka and Cloudera. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Network with professionals in the field of data streaming and architecture. Attend meetups or webinars focused on Kafka and Cloudera to connect with potential colleagues and learn about industry trends.
✨Tip Number 3
Prepare to discuss your previous experiences with designing and implementing scalable architectures. Be ready to share specific examples of how you've optimised Kafka clusters or integrated it with other systems.
✨Tip Number 4
Showcase your leadership skills by highlighting any mentoring or team collaboration experiences. This role requires working closely with various teams, so demonstrating your ability to lead and support others will be beneficial.
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 perfect fit for the Kafka Architect role. 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 working with DevOps, Data Engineering, and Application teams, make sure to mention any collaborative projects you've been part of. This shows that you can work well in a team environment, which is crucial for this position.
How to prepare for a job interview at LinkedIn
✨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 handle the responsibilities of the role.
✨Understand the Company’s Needs
Research the company and its data streaming requirements. Tailor your answers to show how your skills align with their goals, especially in real-time data processing and integration with various data sources.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles related to Kafka performance, fault tolerance, or data security, and be ready to explain how you overcame them.
✨Demonstrate Leadership and Collaboration Skills
Since the role involves mentoring junior team members and collaborating with various teams, share examples of how you've led projects or worked effectively in a team environment. This will highlight your ability to contribute positively to the company culture.
