Senior Full-Stack Data Governance Engineer (Azure & AI)

Jobtailor; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Flexible schedule

Job summary

Jobtailor in Toronto seeks a senior full-stack data governance engineer to lead design, development, and deployment of enterprise-grade governance products on Azure and Databricks. You will build scalable backend services, dashboards, and AI-driven capabilities while mentoring engineers and collaborating across architecture, security, data governance, and product teams.

Ideal candidates have 5+ years of experience, strong Python skills, and a track record in data governance, metadata, and AI

Qualifications

• 5+ years of full-stack application development and Azure cloud engineering experience.
• 3+ years of Databricks experience, including Spark, Delta Lake, MLflow, and Unity Catalog
• Strong Python development skills with FastAPI or similar frameworks and REST API design
• Hands-on experience with Azure Web Apps, Functions, Key Vault, Cosmos DB, Azure AI Services, and Azure DevOps
• Experience building data-intensive dashboards using Power BI, ReactJS, TypeScript
• Experience developing AI-powered solutions using Azure OpenAI, RAG, vector search, and agent workflows
• Extensive Informatica IDMC experience, Docker, Kubernetes, and federated data governance

Responsibilities

• Lead the design, development, and deployment of full-stack data governance products and self-service capabilities on Azure and Databricks
• Develop scalable backend services, APIs, and integrations using Python, FastAPI, Azure services, Informatica, ServiceNow, Microsoft Graph, and other enterprise platforms
• Build front-end applications, governance portals, workflow solutions, and dashboards using ReactJS, TypeScript, data visualization frameworks, and Power BI
• Design and implement metadata management, data lineage, data quality, access governance, and workflow automation solutions
• Develop AI-powered capabilities using Azure OpenAI, Azure AI Search, RAG, vector search, prompt engineering, and agent-based workflows
• Integrate Databricks Unity Catalog, Spark, Delta Lake, and MLflow for governed data processing and AI/ML use cases
• Implement CI/CD pipelines, application security, monitoring, and DevOps practices using Azure DevOps, Jenkins, and Git
• Collaborate with cross-functional teams in architecture reviews, code reviews, sprint planning, and technical design discussions
• Mentor engineers and contribute to engineering standards and high-quality delivery

Skills

Full-stack development

Azure cloud engineering

Python development

REST API design

Data visualization

Leadership / mentoring

Collaboration

Communication

Technical leadership

Problem-solving

Education

Bachelor’s Degree in Computer Science

Master’s Degree in Engineering

Data Science Certification

Tools

Databricks

Unity Catalog

MLflow

Power BI

ReactJS

TypeScript

Azure DevOps

Jenkins

Git

Informatica IDMC

ServiceNow

Docker

Kubernetes

Job description

Jobtailor in Toronto seeks a senior full-stack data governance engineer to lead design, development, and deployment of enterprise-grade governance products on Azure and Databricks. You will build scalable backend services, dashboards, and AI-driven capabilities while mentoring engineers and collaborating across architecture, security, data governance, and product teams.

Ideal candidates have 5+ years of experience, strong Python skills, and a track record in data governance, metadata, and AI