- 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

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