KAFKA Architect

Keylent, Inc.

• $120K — $150K *
Princeton, NJ 08540In-Person
Information Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Proven experience in designing and developing applications using Kafka Streams.
  • Strong understanding of data processing pipelines and related technologies.
  • Experience working in cross-functional teams to integrate data solutions.
  • Demonstrated ability to optimize application performance and scalability.
  • Familiarity with data integrity, reliability, and fault tolerance practices in deployment environments.

Responsibilities

  • Design Kafka Streams applications to fulfill business requirements.
  • Architect data processing pipelines leveraging Kafka Streams technologies.
  • Collaborate with different teams for seamless integration into existing systems.
  • Optimize performance and scalability for Kafka Streams applications.
  • Ensure data integrity and reliability in Kafka Streams deployments.
  • Provide mentorship and technical guidance to development teams.
  • Stay current with best practices and technologies in the data streaming ecosystem.

Benefits

  • Opportunity for professional growth and technical skill development.
  • Collaborative work environment with cross-functional teams.
  • Access to the latest technologies and industry best practices.
  • Potential involvement in innovative projects within real-time data streaming.
Full Job Description
KAFKA Architect - Princeton NJ - ApexOn

A Kafka Streams architect typically oversees the design, development, and implementation of real-time data processing applications using Kafka Streams. Their duties may include:
  • Designing Kafka Streams applications to meet business requirements.
  • Architecting data processing pipelines using Kafka Streams and related technologies.
  • Collaborating with cross-functional teams to integrate Kafka Streams into existing systems.
  • Optimizing performance and scalability of Kafka Streams applications.
  • Ensuring data integrity, reliability, and fault tolerance in Kafka Streams deployments.
  • Providing technical guidance and mentorship to development teams.
  • Staying up-to-date with Kafka Streams best practices and emerging technologies in the data streaming ecosystem.
* Ladders Estimates

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