Kafka Platform Architect: Real-Time Data Leader

Navisoft; McLean (VA); On-site; USD 170,000 - 230,000; Full time

Job summary

Navisoft is seeking an experienced Kafka Platform Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka. The candidate will guide architectural decisions, lead high-throughput streaming deployments, and collaborate with teams across the enterprise.

The role demands deep expertise in distributed systems, data pipelines, governance, security, and cloud-native platforms, with mentoring responsibilities and alignment to business objectives.

Qualifications

• Experience designing enterprise-grade Kafka architectures.
• Proven ability to guide technical design and strategic adoption.
• Strong knowledge of data pipelines, streaming, and governance.

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.

Skills

Kafka expertise

Distributed systems

Event-driven architecture

Cloud-native platforms

Technical leadership

Tools

Confluent Platform

Confluent Cloud

Snowflake

Databricks

Hadoop

Salesforce Programmatic Development

Cloud Platforms

Job description

Navisoft is seeking an experienced Kafka Platform Architect to design, implement, and optimize enterprise-grade event-driven architecture using Apache Kafka. The candidate will guide architectural decisions, lead high-throughput streaming deployments, and collaborate with teams across the enterprise.

The role demands deep expertise in distributed systems, data pipelines, governance, security, and cloud-native platforms, with mentoring responsibilities and alignment to business objectives.