Kafka Architect

Job Description We are seeking an Expert Kafka professional with overall experience of 8 to 12+ Years. 5+ years of deep expertise in designing and implementing enterprise-scale event streaming solutions using Confluent Kafka. The ideal candidate will possess extensive experience in large-scale Confluent Kafka infrastructure (3+ years) and designing complex Kafka integration solutions (5+ years) that power real-time data pipelines, event-driven architectures, and mission-critical business applications. This senior role requires a technical professional who can design highly available, scalable, and secure Kafka ecosystems, establish streaming best practices, and drive the adoption of event-driven patterns across the organization. The Expert Kafka professional will serve as the subject matter expert for all Kafka-related initiatives, mentoring engineering teams, optimizing platform performance, and ensuring the reliability of streaming data infrastructure that supports business-critical operations. Roles & Responsibilities ROLES AND RESPONSIBILITIES Confluent Kafka Infrastructure Architecture (3+ Years): • Architect and design enterprise-scale Confluent Kafka infrastructure supporting high-throughput, low-latency event streaming requirements • Design Kafka cluster topologies including multi-region, multi-datacenter, and hybrid cloud deployments • Plan and implement Kafka broker sizing, partition strategies, replication factors, and cluster scaling patterns • Architect Confluent Platform components: Confluent Server, ZooKeeper/KRaft, Schema Registry, Kafka Connect, ksqlDB, Confluent Control Center • Design high-availability and disaster recovery strategies for Kafka clusters including backup, replication, and failover mechanisms • Implement Kafka security architectures including SSL/TLS encryption, SASL authentication, and ACL-based authorization • Optimize Kafka infrastructure for performance, throughput, and cost-efficiency across cloud and on-premises environments • Evaluate and select deployment options: Confluent Cloud, Confluent Platform on-premises, or self-managed Kafka on cloud infrastructure Kafka Integration Solutions Design (5+ Years): • Design end-to-end event streaming solutions using Kafka for real-time data integration and event-driven architectures • Architect Kafka Connect solutions for integrating with databases, cloud storage, SaaS applications, and legacy systems • Design stream processing applications using Kafka Streams, ksqlDB, or Apache Flink for real-time data transformation • Implement event sourcing and CQRS (Command Query Responsibility Segregation) patterns using Kafka as the event store • Design microservices integration patterns using Kafka for asynchronous communication and event-driven choreography • Architect data pipeline solutions for ETL/ELT, data synchronization, and real-time analytics use cases • Design schema management strategies using Confluent Schema Registry with Avro, Protobuf, and JSON Schema • Implement exactly-once processing semantics and transactional messaging patterns for critical business applications Performance Optimization & Tuning: • Optimize Kafka cluster performance: throughput tuning, latency reduction, and resource utilization • Tune Kafka producer and consumer configurations for optimal performance and reliability • Design and implement partitioning strategies for balanced load distribution and parallel processing • Monitor and optimize Kafka consumer lag, rebalance operations, and consumer group management • Implement Kafka compaction strategies and log retention policies for storage optimization • Tune JVM settings, garbage collection, and OS-level configurations for Kafka brokers • Conduct performance benchmarking and capacity planning for future growth Security & Governance: • Architect comprehensive Kafka security models including authentication, authorization, and encryption • Implement SSL/TLS encryption for data in transit and encryption at rest for sensitive data • Design SASL-based authentication mechanisms: SASL/PLAIN, SASL/SCRAM, SASL/GSSAPI (Kerberos), SASL/OAUTHBEARER • Implement fine-grained ACLs and role-based access control for Kafka resources • Design data governance frameworks for event streaming including data lineage, quality, and compliance • Ensure compliance with regulatory requirements: GDPR, PCI-DSS, HIPAA, SOX for streaming data • Implement audit logging and monitoring for security events and access patterns Platform Operations & Reliability: • Design monitoring and observability solutions for Kafka infrastructure using Confluent Control Center, Prometheus, Grafana • Implement alerting mechanisms for cluster health, consumer lag, and critical metrics • Create runbooks and operational procedures for Kafka cluster maintenance and incident response • Design automated failover and self-healing mechanisms for Kafka infrastructure • Plan and execute Kafka upgrades, migrations, and platform maintenance with minimal downtime • Implement disaster recovery strategies including MirrorMaker 2.0 for cross-cluster replication • Conduct chaos engineering and resilience testing for Kafka infrastructure Integration Architecture: • Design integration patterns between Kafka and enterprise systems: databases, data lakes, data warehouses • Architect Kafka-to-Kafka replication strategies for multi-region and multi-cloud scenarios • Design integration with cloud-native services: AWS Kinesis, Azure Event Hubs, Google Pub/Sub • Implement CDC (Change Data Capture) patterns using Debezium or similar tools with Kafka • Design API integration patterns using Kafka as the messaging backbone • Architect hybrid cloud and multi-cloud Kafka deployments with data sovereignty considerations Development & Best Practices: • Establish Kafka development standards, coding guidelines, and best practices for engineering teams • Design and review Kafka producer and consumer applications for performance and reliability • Implement error handling, dead letter queues, and retry mechanisms for robust event processing • Create reusable Kafka components, libraries, and templates for common patterns • Establish testing strategies for Kafka applications including unit, integration, and chaos testing • Mentor development teams on Kafka patterns, anti-patterns, and optimization techniques • Conduct code reviews and architecture reviews for Kafka-based solutions Stakeholder Collaboration: • Collaborate with data engineers, software engineers, and architects to design streaming solutions • Work with security and compliance teams to ensure Kafka implementations meet regulatory requirements • Partner with infrastructure and DevOps teams for Kafka deployment automation and CI/CD integration • Engage with business stakeholders to understand streaming requirements and translate to technical solutions • Present Kafka architecture designs, roadmaps, and recommendations to technical and executive audiences • Contribute to internal communities of practice and knowledge sharing sessions Innovation & Strategy: • Research and evaluate emerging technologies in the event streaming and real-time analytics space • Develop Kafka platform roadmaps and migration strategies for legacy integration systems • Explore new Confluent Platform features and capabilities for potential adoption • Drive adoption of event-driven architecture patterns and streaming best practices • Identify opportunities for automation, optimization, and cost reduction in Kafka infrastructure • Contribute to open-source Kafka community and stay current with Kafka ecosystem developments