Kafka Architect

Overview

Hybrid
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Amazon Web Services
Apache Flink
Apache Hadoop
Apache Kafka
Apache Spark
Banking
Cloud Computing
Communication
Databricks
DevOps
Enterprise Software
Financial Services
Good Clinical Practice
Google Cloud Platform
IBM WebSphere MQ
IT Management
Leadership
Management
Mentorship
Messaging
Microservices
Microsoft Azure
Migration
Real-time
Salesforce.com
Scalability
Snow Flake Schema
Streaming
TIBCO Software

Job Details

Must-Have:

  • Deep expertise in Apache Kafka architecture, design, and deployment of enterprise-grade streaming platforms

  • Strong knowledge of distributed systems, messaging frameworks, and real-time data pipelines

  • Experience with Confluent Platform or Confluent Cloud

  • Proven ability to design and manage Kafka components (producers, consumers, schema registry, stream processing Kafka Streams, Flink, Spark)

  • Hands-on experience ensuring scalability, reliability, and fault tolerance of Kafka clusters (on-prem, cloud, or hybrid)

  • Knowledge of governance, monitoring, and security models for Kafka

  • Experience with enterprise data platforms (Snowflake, Databricks, Hadoop)

  • Prior experience migrating from legacy messaging systems (IBM MQ, TIBCO, etc.) to Kafka

  • Strong leadership, communication, and mentoring skills

Good-to-Have:

  • Certification in Kafka, Confluent, or cloud platforms (AWS/Azure/Google Cloud Platform)

  • Domain experience in financial services, banking, or credit-union environments

  • Exposure to Salesforce technical development or enterprise application architecture

Responsibilities

  • Define enterprise-wide Kafka architecture, design principles, and best practices

  • Lead design and deployment of high-throughput, low-latency Kafka streaming platforms

  • Architect and manage real-time data pipelines with producers, consumers, and stream processing frameworks

  • Establish governance, monitoring, and security strategies for Kafka clusters

  • Collaborate with application teams to modernize architectures into event-driven microservices solutions

  • Partner with enterprise architects, data engineers, and business stakeholders to align Kafka solutions with business objectives

  • Provide technical leadership and mentorship to developers, engineers, and DevOps teams

  • Support strategic adoption of Kafka and event-driven architecture across the enterprise

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