Overview In this Lead Data Mesh Engineer role, you drive the architecture and hands-on delivery of a high-throughput, event-driven data mesh across multi-cloud environments. You will shape the Data-in-Motion backbone, enabling declarative, Git-driven assets and automated pipelines. Your work enables scalable, policy-driven data governance and efficient cross-cloud data movement. This opportunity combines advanced streaming, Ia C, and governance to transform enterprise IT and data platforms. Compensaciones / Beneficios Generous PTO Unplugged Days Adaptable WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement Continued Career Development Responsabilidades Architect, provision, and maintain multi-AZ AWS MSK clusters and Ni Fi runtimes on EKS using Terraform and Git Ops patterns Enforce schema contracts and governance via vendor-neutral registries (Avro, Async API)



in the Governance Hub Optimize data movement and compute with partitioning, dynamic storage, and local compression Build fault-tolerant DLQ flows and ensure distributed tracing context across services Requisitos principales BSc/MSc in related field or equivalent experience 6+ years of experience with Apache Kafka (AWS MSK) and Apache Ni Fi in Kubernetes (EKS) Advanced Terraform and Git Ops tooling with Argo CD or Flux Expertise in Apache Avro, Async API, and schema registries for MDM enforcement Experience connecting cloud event meshes to data lakehouses or big-data monoliths (Cloudera CDP, Hadoop, Hive) Knowledge of Open Telemetry and distributed tracing Exposure to policy-as-code tools (Open Policy Agent / Rego) AWS MSK Apache Ni Fi Kubernetes (EKS) Terraform Git Ops (Argo CD or Flux) Apache Avro

📌 Lead data mesh engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona