Kafka Cloud Architect Lead (Telangana)

Kafka Cloud Engineer Offshore - Overall experience of 12-15 years and should have at least 6+ years of hands-on experience with Apache Kafka, Confluent Platform, Schema Registry & Kafka Connect. - Any Certification in Azure Cloud and Kafka is preferred. Role Overview The Kafka Architect will be responsible for designing, implementing, and optimizing largescale, real-time event streaming architectures using Apache Kafka/Confluent Kafka. This role involves creating robust, scalable, highly performant data pipelines and event-driven systems that support enterprise-grade workloads. The ideal candidate will have deep expertise in distributed systems, stream processing, cloud-native patterns, and architectural governance. Key Responsibilities: Architectural Design & Strategy: - Design end-to-end Kafka-based event streaming architectures for high-throughput, low-latency environments. - Define architectural standards, best practices, reusable patterns, schemas, and governance models. - Enable event-driven architecture (EDA) adoption across platforms and business units. - Develop data modelling standards for events, Avro/JSON schemas, serialization formats, and schema evolution strategies. - Implement enterprise-grade security: ACLs, RBAC, encryption, network segmentation, auditing, and compliance. - Implement disaster recovery frameworks in seamless manner. Platform Engineering & Implementation Architect and oversee deployment of self-managed Kafka clusters. - Lead capacity planning, cluster sizing, replication, partitioning strategies, high availability, and disaster recovery. - Implement Kafka Connect and ksqlDB Spark streaming pipelines. Cross-Functional Leadership - Collaborate with engineering, DevOps, cloud, data, and application teams to drive Kafka architecture adoption. - Provide mentoring and technical leadership to engineering teams on Kafka patterns and anti-patterns. - Review solution architectures, ensure alignment with enterprise standards, and participate in architecture governance boards. Technical Expertise: - 6+ years of hands-on experience with Apache Kafka, Confluent Platform, Schema Registry & Kafka Connect. - Strong knowledge of event-driven architecture, pub/sub messaging, stream processing, and distributed systems. - Experience with stream processing frameworks: Kafka Streams, Spark Structured Streaming, or ksqlDB. - Solid understanding of DevOps and automation tools: Kubernetes, Terraform, Helm, Ansible, Jenkins, GitHub Actions. - Expertise in cloud platforms (AWS/Azure/GCP) for deploying Kafka or managed services. - Proficiency in languages such as Java, Scala, Python, or Go. - Strong knowledge on Kubernetes and helm - Monitoring and observability frameworks like Prometheus and Grafana Soft Skills: - Excellent communication and stakeholder engagement skills. - Ability to lead architectural discussions and drive decisions. - Strong documentation and presentation abilities. Kafka Cloud Engineer Offshore - Overall experience of 12-15 years and should have at least 6+ years of hands-on experience with Apache Kafka, Confluent Platform, Schema Registry & Kafka Connect. - Any Certification in Azure Cloud and Kafka is preferred. Role Overview The Kafka Architect will be responsible for designing, implementing, and optimizing largescale, real-time event streaming architectures using Apache Kafka/Confluent Kafka. This role involves creating robust, scalable, highly performant data pipelines and event-driven systems that support enterprise-grade workloads. The ideal candidate will have deep expertise in distributed systems, stream processing, cloud-native patterns, and architectural governance. Key Responsibilities: Architectural Design & Strategy: - Design end-to-end Kafka-based event streaming architectures for high-throughput, low-latency environments. - Define architectural standards, best practices, reusable patterns, schemas, and governance models. - Enable event-driven architecture (EDA) adoption across platforms and business units. - Develop data modelling standards for events, Avro/JSON schemas, serialization formats, and schema evolution strategies. - Implement enterprise-grade security: ACLs, RBAC, encryption, network segmentation, auditing, and compliance. - Implement disaster recovery frameworks in seamless manner. Platform Engineering & Implementation Architect and oversee deployment of self-managed Kafka clusters. - Lead capacity planning, cluster sizing, replication, partitioning strategies, high availability, and disaster recovery. - Implement Kafka Connect and ksqlDB Spark streaming pipelines. Cross-Functional Leadership - Collaborate with engineering, DevOps, cloud, data, and application teams to drive Kafka architecture adoption. - Provide mentoring and technical leadership to engineering teams on Kafka patterns and anti-patterns. - Review solution architectures, ensure alignment with enterprise standards, and participate in architecture governance boa