Kafka Technical Consultant

Job description

Key Responsibilities

• Design, deploy, and operate Apache Kafka / Confluent Platform / Confluent Cloud in large-scale, distributed environments.
• Define and implement Kafka broker architecture, Schema Registry, Kafka Connect, and consumer group strategies.
• Establish eventing standards, schema governance, topic naming conventions, retention policies, and platform guardrails.
• Drive enterprise event-driven architecture (EDA) adoption beyond Kafka infrastructure (event design, patterns, and contracts).

Event-Driven Design & Stream Processing

• Lead event-driven use case design and implementation, collaborating with domain and application teams.
• Design and build stream processing applications using Flink, Kafka Streams (KStreams) or equivalent frameworks (Spark Streaming, Google Dataflow, etc.).
• Support real-time data processing, enrichment, aggregation, and stateful streaming use cases.

Cloud & Kubernetes Platform Enablement

• Deploy and manage Kafka and streaming workloads on Kubernetes (GKE preferred; AKS/EKS acceptable).
• Use Helm, Kustomize, and Kubernetes Operators for repeatable and scalable deployments.
• Integrate Kafka platforms with cloud-native services such as compute, storage, and messaging systems. </p