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Kafka Engineer

  • Kafka Engineer job type Posted on: Oct 14, 2026
  • Kafka Engineer experience level Openkyber
  • Kafka Engineer employment type Atlanta, Georgia
  • Kafka Engineer employment type Onsite
  • Kafka Engineer salary Full-time

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Job Title :

Kafka Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Integration Solution Architect (Confluent Kafka & Apache Flink)

Location: New York City, NY / New Jersey (Remote with occasional travel)

Duration: 9 Months

Positions: 1

Job Summary

We are seeking an experienced Integration Solution Architect with strong expertise in Confluent Kafka and Apache Flink. The ideal candidate will design and implement scalable, event-driven architectures and support real-time data integration across enterprise systems. This role requires deep technical knowledge in streaming platforms, API integration, and data engineering.

Key Responsibilities

  • Integration Solution Architecture Design end-to-end integration patterns including CDC Enterprise Bus Middleware APIM
  • Architect event-driven solutions using Kafka/Confluent, leveraging SMT, KSQLDB, and Apache Flink
  • Define API contracts and design APIM-based ingestion mechanisms for enterprise data flows
  • Confluent API Engineering (Flink) Develop and manage Kafka producer/consumer configurations and topic administration
  • Implement CDC connectors (e.g., Debezium, SAP) for ERP and enterprise source systems
  • Design and support schema management and ingestion pipelines into data platforms (e.g., Bronze layer architectures)
  • Data Engineering (Kafka) Implement transformation logic using SMT and KSQLDB on Kafka topics
  • Enhance mapping frameworks to support schema evolution (e.g., AP/AR/OA data models)
  • Develop and support Flink/Kafka Streams jobs for real-time data processing and enrichment

Required Qualifications

  • Strong hands-on experience with Confluent Kafka and Apache Flink
  • Experience designing and implementing event-driven architectures
  • Knowledge of CDC tools and connectors such as Debezium
  • Experience with API integration and middleware architectures
  • Strong understanding of data streaming, transformation, and real-time processing
  • Familiarity with schema design and data ingestion frameworks
  • Ability to work independently and collaborate with cross-functional teams

Education

Bachelor s degree in Computer Science, Engineering, or a related field

Key Skills

Confluent Kafka Apache Flink Event-Driven Architecture CDC (Change Data Capture) KSQLDB & SMT Kafka Streams API Management (APIM) Data Integration & Middleware Real-time Data Processing

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

89320-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Integration Solution Architect (Confluent Kafka & Apache Flink)

Location: New York City, NY / New Jersey (Remote with occasional travel)

Duration: 9 Months

Positions: 1

Job Summary

We are seeking an experienced Integration Solution Architect with strong expertise in Confluent Kafka and Apache Flink. The ideal candidate will design and implement scalable, event-driven architectures and support real-time data integration across enterprise systems. This role requires deep technical knowledge in streaming platforms, API integration, and data engineering.

Key Responsibilities

  • Integration Solution Architecture Design end-to-end integration patterns including CDC Enterprise Bus Middleware APIM
  • Architect event-driven solutions using Kafka/Confluent, leveraging SMT, KSQLDB, and Apache Flink
  • Define API contracts and design APIM-based ingestion mechanisms for enterprise data flows
  • Confluent API Engineering (Flink) Develop and manage Kafka producer/consumer configurations and topic administration
  • Implement CDC connectors (e.g., Debezium, SAP) for ERP and enterprise source systems
  • Design and support schema management and ingestion pipelines into data platforms (e.g., Bronze layer architectures)
  • Data Engineering (Kafka) Implement transformation logic using SMT and KSQLDB on Kafka topics
  • Enhance mapping frameworks to support schema evolution (e.g., AP/AR/OA data models)
  • Develop and support Flink/Kafka Streams jobs for real-time data processing and enrichment

Required Qualifications

  • Strong hands-on experience with Confluent Kafka and Apache Flink
  • Experience designing and implementing event-driven architectures
  • Knowledge of CDC tools and connectors such as Debezium
  • Experience with API integration and middleware architectures
  • Strong understanding of data streaming, transformation, and real-time processing
  • Familiarity with schema design and data ingestion frameworks
  • Ability to work independently and collaborate with cross-functional teams

Education

Bachelor s degree in Computer Science, Engineering, or a related field

Key Skills

Confluent Kafka Apache Flink Event-Driven Architecture CDC (Change Data Capture) KSQLDB & SMT Kafka Streams API Management (APIM) Data Integration & Middleware Real-time Data Processing

For applications and inquiries,

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