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Kafka architect

2 months ago

richmond, United States Themesoft Inc. Full time

Job Title: Kafka architect

Location: Richmond,, VA - Onsite

Skill (Primary) : Data Fabric-Big Data Processing-Kafka.

Job Description (Posting)

Kafka Cluster Management: Design, deploy, and manage Apache Kafka clusters, ensuring high availability, scalability, and fault tolerance.

• Data Streaming Architecture: Develop and maintain real-time data streaming solutions using Kafka, Kafka Streams, and related technologies.

• Performance Optimization: Monitor and optimize Kafka clusters for performance, including tuning brokers, topics, partitions, and configurations.

• Security and Compliance: Implement and manage Kafka security measures, including encryption, authentication, and authorization, to ensure data integrity and compliance with industry standards.

• Integration: Work closely with application developers, data engineers, and DevOps teams to integrate Kafka with other systems and services.

• Monitoring and Alerts: Use tools such as Prometheus, Grafana, and Kafka Manager to set up monitoring, logging, and alerting for Kafka clusters.

• Troubleshooting and Support: Diagnose and promptly resolve issues related to Kafka performance, connectivity, and data processing.

• Documentation: Create and maintain detailed documentation for Kafka configurations, processes, and best practices.

• Innovation and Improvement: Stay up-to-date with the latest developments in Kafka and related technologies, proposing improvements and new solutions as appropriate.

• Proven experience with distributed systems, data streaming, and event-driven architectures.

• Experience with Kafka Streams, KSQL, and other Kafka ecosystem tools.

• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) is a plus.


Technical Skills:

• Strong proficiency in Apache Kafka, including broker setup, topic management, and partitioning strategies.

• Knowledge of data serialization formats such as Avro, Protobuf, and JSON.

• Experience with Linux/Unix systems and scripting (Bash, Python, etc.).

• Familiarity with DevOps practices and tools like Docker, Kubernetes, CI/CD pipelines, and Terraform.

• Experience with monitoring tools (Prometheus, Grafana) and logging tools (Elasticsearch, Logstash, Kibana).