Business Area:
ITSeniority Level:
Mid-Senior levelJob 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 Meshthat transforms corporate IT from a manual ticket-driven delivery model into an automated, machine-executable software factory. As theLead 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 operatingApache Kafka(preferably AWS MSK) andApache NiFi in containerized Kubernetes environments (EKS).
- Infrastructure-as-Code & GitOps:Advanced proficiency withTerraform and GitOps deployment tools (ArgoCD or Flux) operating under a strict pull-based model.
- Data Serialization & Contracts:Expertise inApache 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
Employee Resource Groups
EEO/VEVRAA
#LI-EO1
#LI-HYBRID
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