Enterprise Architect - Kafka
Listed on 2025-12-19
-
IT/Tech
Data Engineer, Cloud Computing, Big Data, Data Security
Role:
Enterprise Architect
Exp in Kafka: 10 & Above
Location:
McLean, VA
Skills:
Kafka, Salesforce Community Cloud, Application Integration Architecture
The Kafka Architect will be responsible for designing, implementing, and managing scalable, high‑performance data streaming solutions using the Apache Kafka ecosystem, with a strong focus on Confluent Platform and Confluent Cloud. The role demands deep expertise in real‑time data processing, event‑driven architecture, and integration with modern cloud and data platforms. 10 years of experience and above in Kafka architecture and implementation.
Deep expertise in Apache, Kafka Confluent, Platform Confluent, Cloud Kafka Connect, Kafka Streams, ksql
DB, Zookeeper, KRaft. Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines. Strong understanding of data integration tools (e.g., Snowflake, Databricks, Hadoop). Familiarity with scripting (Shell, Python) and infrastructure‑as‑code (Terraform). Financial services or credit union domain experience is highly preferred.
- Architect and implement enterprise‑grade Kafka solutions using Confluent Platform cloud.
- Design and manage Kafka clusters, brokers, topics, and partitions for optimal performance and reliability.
- Lead migration efforts from legacy messaging systems (e.g., IBM MQ, TIBCO) to Kafka.
- Develop and optimize Kafka Streams, ksql
DB, Kafka Connect, and Flink‑based pipelines. - Ensure high availability, disaster recovery, and security (RBAC, ACLs) of Kafka infrastructure.
- Collaborate with data engineering, Dev Ops, and application teams to integrate Kafka into broader enterprise systems.
- Monitor and troubleshoot Kafka environments using tools like Grafana, Prometheus, and Confluent Control Center.
- 10 years of experience and above in Kafka architecture and implementation.
- Deep expertise in Apache, Kafka Confluent, Platform Confluent, Cloud Kafka Connect, Kafka Streams, ksql
DB, Zookeeper, KRaft. - Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.
- Strong understanding of data integration tools (e.g., Snowflake, Databricks, Hadoop).
- Familiarity with scripting (Shell, Python) and infrastructure‑as‑code (Terraform).
- Financial services or credit union domain experience is highly preferred.
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