Confluent Kafka Tech Lead

Job Title: Confluent Kafka Tech Lead
Location: Remote / Onsite (As per project requirement)
Experience:7+ Years
Employment Type: Full-Time

We are seeking a highly skilled Confluent Kafka Tech Lead with deep expertise in designing, implementing, and managing real-time data streaming solutions. The ideal candidate will lead Kafka-based architecture design, ensure best practices, and guide the development and operations teams in implementing scalable, resilient event-driven systems.

• Lead the design and architecture of end-to-end event streaming platforms using Confluent Kafka.

• Define data streaming patterns, event models, schema registry usage, and partitioning strategies.

• Drive adoption of Kafka-centric event-driven architectures across teams.

• Guide the development of Kafka producers and consumers using Java/Python.

• Implement Confluent features including KSQL, Connect, REST Proxy, Schema Registry.

• Oversee integration of Kafka with cloud platforms (Azure/AWS/GCP).

• Ensure high availability, scalability, and resiliency of Kafka clusters.

• Optimize throughput, partitions, replication, and retention settings.

• Implement monitoring, alerting, and logging frameworks.

• Provide technical leadership to developers and DevOps teams.

• Conduct design reviews, code reviews, and mentor junior engineers.

• Work closely with Data Engineering, Platform, and Enterprise Architecture teams.

• Define Kafka security standards (ACLs, RBAC, encryption, certificates).

• Ensure compliance with data governance and regulatory requirements.

• 67 years of overall IT experience with 4+ years in Confluent Kafka.

• Strong experience in Kafka architecture, cluster setup, design, and optimization.

• Expertise in Kafka Connect, Schema Registry, KSQL, and Kafka Streams.

• Strong programming experience in Java or Python.

• Experience with cloud (AWS/Azure/GCP) and containerization (Kubernetes/Docker).

• Understanding of event-driven architecture and distributed systems.

• Excellent leadership, communication, and problem-solving capabilities.

• Confluent Kafka Certification.

• Experience in large-scale, high-throughput real-time systems.

• CI/CD experience for streaming applications.