Platform Engineering Lead

FNZ

**
Apache kafka and kafka streams expertise
Microsoft fabric and onelake experience
Azure kubernetes service (aks) deployment
** FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of their data platform, including aspects such as analytics, AI, and security. The ideal candidate will have extensive experience in software/data engineering, particularly with streaming platforms like Apache Kafka, and will lead teams to enhance FNZ's data capabilities. **

Job Summary

  • This role leads the engineering delivery of FNZ's data platform, transforming it from a data engine into an industry-leading insight platform.
  • The successful candidate will drive execution across roadmap pillars including Data Trust & Governance, Client Data Delivery, and AI/ML capabilities.
  • FNZ partners with leading banks and asset managers to create seamless wealth platforms supporting over $1.5 trillion in assets under administration.

Matching Summary

Match Score: 75

** FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of their data platform, including aspects such as analytics, AI, and security. The ideal candidate will have extensive experience in software/data engineering, particularly with streaming platforms like Apache Kafka, and will lead teams to enhance FNZ's data capabilities. **

Skills & Requirements

Must-have

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

Nice-to-have

  • Confidential compute and differential privacy
  • Federated learning implementation experience
  • Backstage developer portal usage
  • Wealth management industry background
  • GitOps and ArgoCD proficiency

Key Requirements

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

Work Rights

Not specified

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