Lead Data Mesh Engineer

Cloudera; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous PTO Policy

Unplugged Days

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement

Continued Career Development

Comprehensive Benefits and Competitive

Descripción de la vacante

Cloudera is seeking a Lead Data Mesh Engineer in Madrid to own architectural execution of our data mesh and the data-in-motion backbone across multi-cloud environments. You will drive IaC, governance, and high-throughput streaming pipelines.

You will work with AWS MSK, NiFi on EKS, and on-prem data lakehouse, applying GitOps, schema contracts, and advanced observability to deliver scalable, compliant data flows.

Formación

• Bachelor or Master's degree in a related field or equivalent experience.
• 6+ years of hands-on experience architecting and operating Kafka (AWS MSK) and NiFi in Kubernetes (EKS).
• Proficiency with Terraform and GitOps tooling (ArgoCD or Flux) in production environments.
• Experience with Avro/AsyncAPI schemas and schema registries for data contracts.
• Background linking cloud event meshes to data lakehouses or big-data monoliths.

Responsabilidades

• Architect, provision, and maintain multi-AZ AWS MSK clusters and NiFi runtimes on EKS using IaC.
• Enforce data contracts via schema registries and governance hubs before production.
• Optimize cross-cloud data movement, storage, and compute using advanced techniques.
• Build fault-tolerant telemetry and tracing across streaming services and hops.

Conocimientos

Apache Kafka

AWS MSK

Apache NiFi

Kubernetes (EKS)

Terraform

GitOps

Schema Registry

AsyncAPI

OpenTelemetry

Data Mesh

Educación

BSc/MSc in related field or equivalent experience

Herramientas

Apicurio

ArgoCD

Flux

AWS Glue

EKS

Descripción del empleo

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Business Area:

IT

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

About The Team & Role

We are building an enterprise-grade, Everything-as-Code (EaC) Data Mesh that transforms corporate IT from a manual ticket-driven delivery model into an automated, machine-executable software factory. As the Lead Data Mesh Engineer, you will own the architectural execution and hands-on delivery of our high-throughput, asynchronous event-streaming infrastructure and hybrid data pipelines.

Operating in an environment where every asset, route, and policy must exist as declarative code inside Git, you will architect the "Data-in-Motion" backbone across multi-cloud environments (AWS MSK, Apache NiFi on EKS) and insulate our core on-premises data lakehouse.

As a Lead Data Mesh Engineer, you will:

• Event-Streaming Architecture (IaC): 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.
• Contract-First Schema Governance: Integrate vendor-neutral Schema Registries (AWS Glue / Apicurio) to enforce strict Apache Avro and AsyncAPI data contracts defined in our central Governance Hub before payloads hit production event topics.
• Egress & FinOps Optimization: Implement high-performance partition strategies, dynamic storage auto-scaling (gp3/io2), and mandatory local payload compression (Snappy/Zstd) to minimize cross-cloud data movement fees and optimize compute consumption.
• Resiliency & Out-of-Band Telemetry: Build fault-tolerant Dead Letter Queue (DLQ) automated replay loops and ensure all streaming payloads carry lightweight, out-of-band tracing context across service hops.

We are excited if you have (Required Experience):

• Bsc/Msc in related field or equivalent experience
• Core Streaming & Orchestration: 6+ years of deep, hands-on experience architecting and operating Apache Kafka (preferably AWS MSK) and Apache NiFi in containerized Kubernetes environments (EKS).
• Infrastructure-as-Code & GitOps: Advanced proficiency with Terraform and GitOps deployment tools (ArgoCD or Flux) operating under a strict pull-based model.
• Data Serialization & Contracts: Expertise in Apache Avro, AsyncAPI, and schema registry management for Master Data Management (MDM) enforcement.
• Hybrid Mesh & Lakehouse Integration: Demonstrated background connecting cloud event meshes to enterprise data lakehouses or big-data monoliths (Cloudera CDP, Hadoop, Hive).
• Distributed Observability: Practical understanding of out-of-band telemetry exhaust, OpenTelemetry standards, and W3C distributed tracing context propagation.

You may also have:

• Exposure to Policy-as-Code tools (Open Policy Agent / Rego).

What you can expect from us:

• Generous PTO Policy
• Support work life balance with Unplugged Days
• 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

EEO/VEVRAA