Responsibilities

• Define and govern enterprise-wide Kafka architecture, design principles, and best practices.
• Lead design and deployment of scalable, high-throughput, low-latency streaming platforms.
• Architect and manage end-to-end data pipelines including producers, consumers, schema registries, and stream processing layers.
• Ensure scalability, reliability, and fault tolerance of Kafka clusters deployed in on-premises, cloud, or hybrid environments.
• Establish and enforce governance, monitoring, and security frameworks for Kafka ecosystems.
• Collaborate with application teams to modernize systems into event-driven, microservices-based architectures.
• Provide technical leadership, mentorship, and guidance to developers, engineers, and DevOps teams.
• Work closely with enterprise architects, data engineers, and business stakeholders to align technology solutions with business goals.
• Lead large-scale migrations from legacy messaging platforms (IBM MQ, TIBCO) to Kafka-based solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 9+ years of experience in distributed systems architecture, with significant focus on Apache Kafka.
• Proven experience designing and implementing Kafka at enterprise scale.
• Strong understanding of event-driven architecture and real-time data streaming best practices.
• Excellent communication, leadership, and stakeholder management skills.

Skills & Experience

• Expertise with Apache Kafka, including Confluent Platform or Confluent Cloud.
• Experience with enterprise data platforms such as Snowflake, Databricks, Hadoop.
• Strong knowledge of messaging systems and migrating from legacy middleware (IBM MQ, TIBCO) to Kafka.
• Familiarity with financial services, banking, or credit union domains is a strong plus.
• Relevant certifications in Kafka, Confluent, or cloud platforms are preferred.
• Hands-on experience with stream processing frameworks like Kafka Streams, ksqlDB, Apache Flink, or Apache Spark.

Posted By