Kafka Platform Architect

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

Kafka Platform Architect (ID: KK11DR11533)

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 ID: KK11DR11533

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