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
Robust 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 Full-Stack Application Development
Azure Cloud Engineering
Databricks Experience
Python Development with FastAPI
Data Governance Solutions
Hard Skills Python
FastAPI
REST API Design
Data Visualization
Azure Services
Informatica
Spark
Delta Lake
MLflow
CI/CD Pipelines
Soft Skills Problem-Solving
Collaboration
Communication
Mentoring
Technical Leadership
Certifications & Qualifications Bachelor’s Degree in Computer Science
Master’s Degree in Engineering
Data Science Certification
Industry Keywords Data Governance
Metadata Management
Data Lineage
Access Governance
Workflow Automation
AI/ML Use Cases
Federated Data Governance
Tools & Technologies Azure DevOps
Jenkins
Power BI
ReactJS
TypeScript
Azure OpenAI
RAG
Vector Search
Agent Workflows
ServiceNow

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📌 Senior Full Stack Data Governance Engineer (Ontario)
🏢 Jobtailor
📍 Ontario