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Kafka Architect -- KANDC5684026
Kafka Architect -- KANDC5684026Compunnel Inc. • Bethesda, MD, US
Kafka Architect KANDC5684026

Kafka Architect KANDC5684026

Compunnel Inc. • Bethesda, MD, US
1 day ago
Job type
  • Full-time
Job description

Job Requirements

  • Lead the architecture, design, and deployment of Apache Kafka-based platforms.
  • Define best practices and standards for Kafka implementation, integration, and security across the organization.
  • Collaborate with business stakeholders, solution architects, and engineering teams to translate business requirements into scalable and resilient Kafka architectures.
  • Oversee the setup, configuration, and tuning of Kafka clusters to ensure high availability and performance.
  • Develop and enforce policies for data retention, topic management, security, and disaster recovery.
  • Guide migration and integration projects, including legacy system modernization and cloud adoption using Kafka.
  • Mentor and train development teams on Kafka concepts, tools, and best practices.
  • Monitor system health, troubleshoot complex issues, and implement proactive performance improvements.
  • Stay abreast of new developments in the Kafka ecosystem and recommend adoption of relevant technologies.

Required Skills & Qualifications

  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • 14-16 years of total IT experience, including at least 5 years architecting and managing large-scale Kafka deployments.
  • Expertise in Apache Kafka internals, including producers, consumers, brokers, partitions, replication, and Zookeeper.
  • Strong knowledge of event-driven architecture, stream processing (Kafka Streams, ksqlDB), and real-time analytics.
  • Deep experience integrating Kafka with various data sources, sinks, and enterprise systems (e.g., databases, microservices, cloud platforms).
  • Hands-on experience with Kafka security (SSL, SASL, ACLs), data governance, and compliance.
  • Proficiency in scripting and programming languages commonly used with Kafka (such as Java, Scala, or Python).
  • Understanding of containerization and orchestration technologies (Docker, Kubernetes) as related to Kafka deployments.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Experience leading technical teams and mentoring junior engineers.
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