Purple Drive
Exp: 10 & Above
Skills: Salesforce Technical - Programmatic Development, Snowflake, Banking and Financial Technology, Enterprise Application Architect
We are seeking an experienced Kafka Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka.
The ideal candidate will have deep expertise in distributed systems, messaging frameworks, real-time data pipelines, and cloud-native platforms, with the ability to guide both technical design and strategic adoption across the enterprise.
Experience with Confluent Platform or Confluent Cloud.
Exposure to enterprise data platforms (Snowflake, Databricks, Hadoop).Knowledge of financial services, banking, or credit-union domain is a plus.
Prior experience in architecting large-scale migration from legacy messaging (IBM MQ, TIBCO, etc.) to Kafka.
Certification in Kafka, Confluent, or Cloud platforms.
Define enterprise-wide Kafka architecture, design principles, and best practices.
Lead the design and deployment of high-throughput, low-latency streaming platforms using Apache Kafka.
Architect and manage data pipelines, including producers, consumers, schema registries, and stream processing (Kafka Streams, Flink, Spark).
Ensure scalability, reliability, and fault tolerance of Kafka clusters in on-prem, cloud, or hybrid environments.
Establish governance, monitoring, and security models for Kafka clusters.
Partner with application teams to modernize architectures into event-driven, microservices-based solutions.
Provide technical leadership and mentorship to developers, engineers, and DevOps teams.
Collaborate with enterprise architects, data engineers, and business stakeholders to ensure alignment with business objectives.
Skills: Salesforce Technical - Programmatic Development, Snowflake, Banking and Financial Technology, Enterprise Application Architect
We are seeking an experienced Kafka Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka.
The ideal candidate will have deep expertise in distributed systems, messaging frameworks, real-time data pipelines, and cloud-native platforms, with the ability to guide both technical design and strategic adoption across the enterprise.
Experience with Confluent Platform or Confluent Cloud.
Exposure to enterprise data platforms (Snowflake, Databricks, Hadoop).Knowledge of financial services, banking, or credit-union domain is a plus.
Prior experience in architecting large-scale migration from legacy messaging (IBM MQ, TIBCO, etc.) to Kafka.
Certification in Kafka, Confluent, or Cloud platforms.
Define enterprise-wide Kafka architecture, design principles, and best practices.
Lead the design and deployment of high-throughput, low-latency streaming platforms using Apache Kafka.
Architect and manage data pipelines, including producers, consumers, schema registries, and stream processing (Kafka Streams, Flink, Spark).
Ensure scalability, reliability, and fault tolerance of Kafka clusters in on-prem, cloud, or hybrid environments.
Establish governance, monitoring, and security models for Kafka clusters.
Partner with application teams to modernize architectures into event-driven, microservices-based solutions.
Provide technical leadership and mentorship to developers, engineers, and DevOps teams.
Collaborate with enterprise architects, data engineers, and business stakeholders to ensure alignment with business objectives.