Platform Engineering Lead

FNZ

Not specified (assumed to be hybrid based on the role's nature)
Apache kafka and kafka streams expertise
Microsoft fabric and lakehouse architecture
Azure kubernetes service (aks) deployment
FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which supports wealth management solutions. The ideal candidate will have extensive experience in software/data engineering and leadership, particularly in delivering large-scale data platforms using technologies like Apache Kafka and Microsoft Fabric

Job Summary

  • FNZ is seeking an experienced Platform Engineering Lead to drive the delivery of its global data platform serving over $1.5 trillion in assets.
  • The role requires owning the engineering roadmap across streaming platforms, analytical warehouses, AI/ML capabilities, and robust security frameworks.
  • Candidates will lead cross-functional teams to implement advanced privacy technologies like confidential compute and federated learning for financial clients.

Matching Summary

Match Score: 85

FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which supports wealth management solutions. The ideal candidate will have extensive experience in software/data engineering and leadership, particularly in delivering large-scale data platforms using technologies like Apache Kafka and Microsoft Fabric.

Skills & Requirements

Must-have

  • Apache Kafka and Kafka Streams expertise
  • Microsoft Fabric and Lakehouse architecture
  • Azure Kubernetes Service (AKS) deployment
  • OAuth 2.0 and multi-tenant security patterns
  • Apache Flink stream processing experience
  • Data governance and regulatory compliance

Nice-to-have

  • Confidential compute and differential privacy
  • Federated learning implementation skills
  • GitOps with ArgoCD and Helm charts
  • Backstage developer portal experience
  • Wealth management industry background
  • Vector database and RAG implementations

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years of software/data engineering experience
  • 5+ years leading large-scale data platform engineering teams
  • Deep hands-on expertise with Apache Kafka and CDC patterns
  • Proven track record in Azure cloud infrastructure and Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter