Descripción de la oferta
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, IaC, and governance to transform enterprise IT and data platforms.
Compensaciones / BeneficiosGenerous PTOUnplugged DaysFlexible WFH PolicyMental & Physical Wellness programsPhone and Internet ReimbursementContinued Career Development
ResponsabilidadesArchitect, provision, and maintain multi-AZ AWS MSK clusters and NiFi runtimes on EKS using Terraform and GitOps patternsEnforce schema contracts and governance via vendor-neutral registries (Avro, AsyncAPI) in the Governance HubOptimize data movement and compute with partitioning, dynamic storage, and local compressionBuild fault-tolerant DLQ flows and ensure distributed tracing context across services
Requisitos principalesBSc/MSc in related field or equivalent experience6+ years of experience with Apache Kafka (AWS MSK) and Apache NiFi in Kubernetes (EKS)Advanced Terraform and GitOps tooling with ArgoCD or FluxExpertise in Apache Avro, AsyncAPI, and schema registries for MDM enforcementExperience connecting cloud event meshes to data lakehouses or big-data monoliths (Cloudera CDP, Hadoop, Hive)Knowledge of OpenTelemetry and distributed tracingExposure to policy-as-code tools (Open Policy Agent / Rego)AWS MSKApache NiFiKubernetes (EKS)TerraformGitOps (ArgoCD or Flux)Apache Avro
