Enterprise Architect

Overview

On Site
70 - 120
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Apache Flink
Apache Hadoop
Apache Kafka
Apache ZooKeeper
Cloud Computing
Collaboration
Continuous Integration and Development
Data Engineering
Terraform
Microsoft Azure
Migration
Python
IBM WebSphere MQ
Management
Messaging
RBAC
Good Clinical Practice
Google Cloud Platform
Real-time
FOCUS
Financial Services
Grafana
High Availability
Data Processing
Databricks
DevOps
Disaster Recovery
Scripting
Shell
Snow Flake Schema
Streaming
Data Integration
TIBCO Software

Job Details

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, ksqlDB, Zookeeper, KRaft
Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and CICD 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, ksqlDB, Kafka Connect, and Flink-based pipelines.
Ensure high availability, disaster recovery, and security (RBAC, ACLs) of Kafka infrastructure.
Collaborate with data engineering, DevOps, and application teams to integrate Kafka into broader enterprise systems.
Monitor and troubleshoot Kafka environments using tools like Grafana, Prometheus, and Confluent Control Center.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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