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FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which includes data storage, AI/ML capabilities, and security. The ideal candidate will have extensive experience in software/data engineering, particularly with streaming platforms and cloud infrastructure, and will be responsible for leading engineering teams to enhance the platform's capabilities.
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Job Summary
This role leads the engineering delivery of FNZ's data platform, evolving it from a data delivery engine into an industry-leading insight platform.
The successful candidate will own technical execution across streaming platforms, analytical warehouses, AI capabilities, and robust security measures.
FNZ partners with leading banks and asset managers to empower millions of investors worldwide with seamless wealth management solutions.
Matching Summary
Match Score: 75
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FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which includes data storage, AI/ML capabilities, and security. The ideal candidate will have extensive experience in software/data engineering, particularly with streaming platforms and cloud infrastructure, and will be responsible for leading engineering teams to enhance the platform's capabilities.
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Skills & Requirements
Must-have
Apache Kafka and Kafka Streams expertise
Microsoft Fabric and Lakehouse architecture
Azure Kubernetes Service (AKS) deployment
OAuth 2.0 and platform security implementation
Apache Flink stream processing leadership
Data governance and regulatory compliance
Nice-to-have
Confidential compute and differential privacy
Federated learning framework experience
GitOps with ArgoCD and Helm charts
Wealth management industry background
Vendor evaluation and build-vs-buy decisions
Key Requirements
10+ years in software/data engineering
5+ years leading large-scale data platform teams
Bachelor's or Master's degree in Computer Science
Deep hands-on expertise with Apache Kafka patterns