Confluent Kafka Tech Lead

Job Title : Confluent Kafka Tech Lead

Location : Remote / Onsite (As per project requirement)

Experience : 7+ Years

Employment Type : Full-Time

Role Overview

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.

Key Responsibilities

Kafka Architecture & Solution Design

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.

Development & Integration

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).

Performance, Scalability & Reliability

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

Optimize throughput, partitions, replication, and retention settings.

Implement monitoring, alerting, and logging frameworks.

Leadership & Collaboration

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.

Security & Governance

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

Ensure compliance with data governance and regulatory requirements.

Required Skills & Qualifications

6–7 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.

Preferred Qualifications

Confluent Kafka Certification.

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

CI / CD experience for streaming applications.

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