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Kafka Platform Architect

Job in McLean, Fairfax County, Virginia, USA
Listing for: Navisoft
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 170000 - 230000 USD Yearly USD 170000.00 230000.00 YEAR
Job Description & How to Apply Below

Kafka Platform Architect ()

Description: We are seeking an experienced Kafka Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka. The ideal candidate will have deep expertise in distributed systems, messaging frameworks, real-time data pipelines, and cloud-native platforms, with the ability to guide both technical design and strategic adoption across the enterprise.

Responsibilities:

  • Define enterprise-wide Kafka architecture, design principles, and best practices.
  • Lead the design and deployment of high-throughput, low-latency streaming platforms using Apache Kafka.
  • Architect and manage data pipelines.
  • Ensure scalability, reliability, and fault tolerance of Kafka clusters.
  • Establish governance, monitoring, and security models for Kafka clusters.
  • Partner with application teams to modernize architectures into event-driven, microservices-based solutions.
  • Provide technical leadership and mentorship.
  • Collaborate with stakeholders to ensure alignment with business objectives.

Role: Kafka Platform Architect

Description: We are seeking an experienced Kafka Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka. The ideal candidate will have deep expertise in distributed systems, messaging frameworks, real-time data pipelines, and cloud-native platforms, with the ability to guide both technical design and strategic adoption across the enterprise.

Responsibilities:

  • Define enterprise-wide Kafka architecture, design principles, and best practices.
  • Lead the design and deployment of high-throughput, low-latency streaming platforms using Apache Kafka.
  • Architect and manage data pipelines.
  • Ensure scalability, reliability, and fault tolerance of Kafka clusters.
  • Establish governance, monitoring, and security models for Kafka clusters.
  • Partner with application teams to modernize architectures into event-driven, microservices-based solutions.
  • Provide technical leadership and mentorship.
  • Collaborate with stakeholders to ensure alignment with business objectives.

Please note:

F1 OPT candidates are not eligible for this role

Job

Required Skills

Kafka, Confluent Platform, Confluent Cloud, Snowflake, Databricks, Hadoop, Salesforce Programmatic Development, Cloud Platforms

Kafka Confluent Platform Confluent Cloud Snowflake Databricks Hadoop Salesforce Programmatic Development Cloud Platforms

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