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FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which includes an array of responsibilities from engineering leadership to platform security. The ideal candidate should have extensive experience in software/data engineering, particularly with streaming platforms and analytical environments, along with a strong background in team leadership.
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Job Summary
This role leads engineering efforts across the full scope of FNZ's data platform, evolving it from a delivery engine into an industry-leading insight platform.
The ideal candidate will drive execution for critical pillars including Near Real-Time Operational Data Store, Analytical Warehouse on Microsoft Fabric, and AI/ML capabilities.
Candidates must possess deep hands-on expertise with Apache Kafka, Azure cloud infrastructure, and proven leadership experience managing large-scale data engineering teams.
Matching Summary
Match Score: 75
**
FNZ is seeking a Platform Engineering Lead to oversee the engineering delivery of its data platform, which includes an array of responsibilities from engineering leadership to platform security. The ideal candidate should have extensive experience in software/data engineering, particularly with streaming platforms and analytical environments, along with a strong background in team leadership.
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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 experience
Data governance and regulatory compliance
Nice-to-have
Confidential compute and differential privacy
Federated learning framework implementation
GitOps with ArgoCD and Helm charts
Backstage developer portal experience
Wealth management industry background
High-scale multi-tenant isolation patterns
Key Requirements
10+ years in software/data engineering
5+ years leading engineering teams
Bachelor's or Master's degree in CS or Engineering