Cloud Data Platform Engineer – ML/AI, Vector Search
Summary
Designs scalable, secure cloud databases and data models for Hamilton ETFs’ SaaS tools, enabling AI features like lead scoring and semantic search in financial datasets.
Hamilton ETFs is building a cloud-native, ML-ready data platform to power its SaaS applications across sales, marketing, compliance, and reporting. The Database Engineer will design secure, scalable databases and data models that support advisor intelligence, CRM workflows, and regulatory reporting.
You will influence data governance, security controls, and data ingestion for large financial datasets, enabling AI features like lead scoring and semantic search.