Senior Data Engineer - AWS, DevOps

Data Engineer (FNZ)

FNZ is a global fintech firm transforming the way financial institutions serve their clients. By combining cutting-edge technology infrastructure and investment operations FNZ enables wealth management firms to deliver personalized investment solutions at scale. Operating across multiple regions and supporting over $1.5 trillion in assets under administration FNZ partners with leading banks insurers and asset managers to create seamless and innovative wealth platforms that empower millions of investors worldwide.
We are seeking an experienced and hands-on Kafka Engineer to join our data engineering team. The ideal candidate will design implement and manage real-time data pipelines using Apache Kafka supporting Change Data Capture (CDC) from multiple transactional systems into a high-throughput resilient and cloud-agnostic data platform. Kafka Architecture & Management: Design configure monitor and maintain Kafka clusters across AWS and Azure. Ensure high availability fault tolerance and secure operation of Kafka environments.

Implement and manage Change Data Capture pipelines using tools such as Debezium with a focus on PostgreSQL as a source system. Build and operate real-time streaming pipelines using Kafka Streams or Flink (where applicable) supporting schema evolution ordered event processing and deduplication.

AI-Assisted Development: Leverage AI coding agents (e.g. Claude Code GitHub Copilot) to accelerate development improve code quality and enhance productivity. Contribute to prompt engineering and agent configuration to optimize team workflows.

Data Ingestion Pipelines: Build connectors and microservices (Java preferred) for ingesting and transforming streaming data. Cross-Cloud Enablement: Develop cloud-agnostic Kafka deployment strategies with experience in managing services across AWS and Azure. Optimize networking security and cost profiles for multi-cloud streaming.

Deploy and manage Kafka and supporting services (like Schema Registry Kafka Connect) on Kubernetes. Infrastructure as Code: Use Terraform (or equivalent frameworks) to provision and manage Kafka infrastructure and CI/CD pipelines for repeatable and testable deployments.

Implement robust monitoring alerting and logging (e.g. Support troubleshooting and root cause analysis.

Maintain clear documentation for infrastructure data flow failure handling and operational playbooks.
Bachelors degree in computer science Engineering or a related technical field.

Experience: 5 years of hands-on experience with Kafka in production environments.

Strong working knowledge of CDC tools (preferably Debezium) logical replication in PostgreSQL and real-time event sourcing patterns.

Programming Skills: Proficiency in Java (preferred) with knowledge of concurrency and stream processing. Familiarity with Python or Go is a plus.

AI Coding Tools: Demonstrated experience using AI coding agents (Claude Code GitHub Copilot Cursor or similar) as part of daily development workflow. Comfortable with prompt engineering and iterating with AI to solve complex problems.

Cloud & Kubernetes: Demonstrated experience deploying and managing Kafka in Kubernetes environments across AWS and Azure.

DevOps: Strong experience with Terraform Helm and CI/CD pipelines (e.g. Understanding of data encryption TDE IAM network policies and secure streaming practices.
Experience working in the Wealth Management or Financial Services industry with strong emphasis on data governance and compliance.

Experience with schema management Kafka Connect and event versioning strategies.

Familiarity with Microsoft Fabric Delta Lake or similar real-time lake house architectures.

Kafka certification or cloud certifications (AWS/Azure) are a plus.

Track record of contributing to or maintaining AI agent configurations custom instructions or team-wide AI tooling standards.

We know the foundation to do that already exists in the wealth management industry but complexity holds firms back.

We created wealths growth platform to help. We provide a global end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.

We partner with the worlds leading financial institutions with over US$2.2 trillion in assets on platform (AoP).
Required Experience: