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 (Winnipeg)
🏢 Jobtailor
📍 Winnipeg