Lead Data Mesh Engineer

Job not on LinkedIn

🔥 1 minute ago

🌐 Spain, Hungary, +1 more countries – Remote

🇪🇸 Spain – Remote 🇭🇺 Hungary – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $4.1M Venture Round on 2013-01

Consulting • Healthcare • Logistics

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Architect, provision, and maintain multi-AZ Amazon Managed Streaming for Apache Kafka (AWS MSK) clusters and Apache NiFi runtimes on Amazon EKS (Graviton ARM64) using Terraform and declarative GitOps patterns • Integrate vendor-neutral Schema Registries (AWS Glue / Apicurio) to enforce Apache Avro and AsyncAPI data contracts before payloads reach production event topics • Implement high-performance partition strategies, dynamic storage auto-scaling (gp3/io2), and mandatory local payload compression (Snappy/Zstd) • Build fault-tolerant Dead Letter Queue (DLQ) automated replay loops • Ensure streaming payloads carry lightweight, out-of-band tracing context across service hops • Own architectural execution and hands-on delivery of high-throughput, asynchronous event-streaming infrastructure and hybrid data pipelines • Architect the Data-in-Motion backbone across multi-cloud environments and insulate the core on-premises data lakehouse

🎯 Requirements

• BSc/MSc in related field or equivalent experience • 6+ years of deep, hands-on experience architecting and operating Apache Kafka, preferably AWS MSK, and Apache NiFi in containerized Kubernetes environments (EKS) • Advanced proficiency with Terraform and GitOps deployment tools (ArgoCD or Flux) operating under a strict pull-based model • Expertise in Apache Avro, AsyncAPI, and schema registry management for Master Data Management (MDM) enforcement • Demonstrated background connecting cloud event meshes to enterprise data lakehouses or big-data monoliths (Cloudera CDP, Hadoop, Hive) • Practical understanding of out-of-band telemetry exhaust, OpenTelemetry standards, and W3C distributed tracing context propagation • Exposure to Policy-as-Code tools (Open Policy Agent / Rego)

🏖️ Benefits

• Generous PTO Policy • Unplugged Days to support work-life balance • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups