Senior Full Stack Data Governance Engineer

Jobtailor

Toronto

On-site

CAD 120,000 - 180,000

Full time

3 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

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

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

Requirements

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 and reporting solutions using Power BI, ReactJS, TypeScript, and modern data visualization frameworks
Experience developing AI-powered solutions using Azure OpenAI, RAG, vector search, prompt engineering, and agent workflows
Experience with Informatica IDMC, CI/CD pipelines, Jenkins, Azure DevOps, and Git
Strong problem-solving, troubleshooting, and root-cause analysis skills
Excellent collaboration and communication skills across engineering, architecture, security, data governance, product, and business teams
Ability to mentor engineers, contribute to engineering standards, and drive high-quality delivery through reviews and technical leadership
Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
Nice-to-have: Extensive Informatica IDMC experience, Docker, Kubernetes, and federated data governance experience

Core Competencies

Demonstrates expertise in full-stack application development and Azure cloud engineering, with a strong focus on data governance, AI-powered solutions, and scalable backend services. Proficient in mentoring engineers and driving high-quality delivery through collaboration and technical leadership.

Highest-signal resume keywords