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 Solid 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 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 #J-18808-Ljbffr

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