Lead Data Mesh Engineer (Kafka/NiFi)

Location: Hungary — remote, with a hybrid work arrangement indicated

Company

hirify.global provides enterprise data management and analytics solutions that help organizations transform complex data into actionable insights.

What you will do

• Architect, provision, and operate multi-AZ AWS MSK clusters and Apache NiFi runtimes on Amazon EKS using Terraform and declarative GitOps.
• Build an enterprise-grade Everything-as-Code Data Mesh and high-throughput asynchronous event-streaming infrastructure across multi-cloud environments.
• Implement contract-first schema governance with AWS Glue or Apicurio, Apache Avro, and AsyncAPI.
• Optimize partitioning, storage auto-scaling, compression, cross-cloud data movement, and compute consumption.
• Build fault-tolerant Dead Letter Queue replay loops and propagate out-of-band tracing context across service hops.
• Integrate cloud event meshes with enterprise lakehouses and big-data platforms such as hirify.global CDP, Hadoop, and Hive.

Requirements

• Bachelor’s or master’s degree in a related field, or equivalent experience.
• 6+ years of hands-on experience architecting and operating Apache Kafka, preferably AWS MSK, and Apache NiFi in Kubernetes environments such as EKS.
• Advanced proficiency with Terraform and GitOps tools including ArgoCD or Flux.
• Expertise in Apache Avro, AsyncAPI, schema registries, and Master Data Management enforcement.
• Experience integrating cloud event meshes with enterprise data lakehouses or big-data platforms.
• Practical knowledge of OpenTelemetry and W3C distributed tracing context propagation.

Nice to have

• Exposure to Policy-as-Code tools such as Open Policy Agent and Rego.

Culture & Benefits

• Flexible work-from-home policy.
• Generous paid time off and Unplugged Days supporting work-life balance.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Continued career development, comprehensive benefits, and competitive packages.
• Paid volunteer time and employee resource groups.