We are seeking a Senior Databricks Engineer to support a high-priority, fast-tracked platform enablement initiative for a premier Canadian banking client. This role focuses on early-phase design, exploratory architecture, and moving Unity Catalog assets onto an enterprise AI platform in a regulated setting.

Key Responsibilities

- Build and execute the underlying logic to migrate Unity Catalog assets (catalogs, schemas, data, views, and materialized views) onto the central enterprise AI platform.
- Design and implement access patterns, Active Directory (AD) / Entra ID groups, and governance framework logic for business unit users.
- Develop robust, testable Python code using pytest following standard software engineering best practices.
- Execute a Proof of Concept (PoC) migrating initial pilot datasets to staging environments, laying the foundation for scaling to 100+ datasets.
- Integrate data platform pipelines into automated CI/CD workflows using GitHub and Jenkins.

Required Qualifications

- Tech Stack:



Advanced proficiency in Python, Databricks (specifically Unity Catalog & Delta Lake), and cloud infrastructure.
- Engineering Standards: Hands-on experience with unit testing (pytest), version control (GitHub), and automated build pipelines (Jenkins CI/CD).
- Domain Experience: Prior experience delivering data platform or cloud engineering solutions within Canadian Tier-1 banking or capital markets.
- Platform & Infrastructure: Familiarity with cloud/ML platform orchestration, access control models, and containerized environments (Kubernetes/K8s exposure).
- Location & Presence: Must be available to work on-site in Downtown Toronto.

Nice to Have

- Experience with MLOps frameworks, model governance, and catalog migrations at scale.
- Prior consulting experience within major professional services or enterprise IT environments.

📌 Senior Databricks Engineer (Toronto)
🏢 Vsync Solutions
📍 Toronto