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Manulife

Senior Full Stack Data Governance Engineer

Manulife

Senior full-stack engineer building secure data governance, AI, and cloud solutions on Azure and Databricks. Supporting Manulife’s international financial services business.

Posted 9/10/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$113,000 - CA$163,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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 DevelopmentAzure Cloud EngineeringDatabricks ExperiencePython Development with FastAPIData Governance Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonFastAPIREST API DesignData VisualizationAzure ServicesInformaticaSparkDelta LakeMLflowCI/CD Pipelines
Soft Skills
Problem-SolvingCollaborationCommunicationMentoringTechnical Leadership
Tools & Technologies
Azure DevOpsJenkinsPower BIReactJSTypeScriptAzure OpenAIRAGVector SearchAgent WorkflowsServiceNow
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in EngineeringData Science Certification
Industry Keywords
Data GovernanceMetadata ManagementData LineageAccess GovernanceWorkflow AutomationAI/ML Use CasesFederated Data Governance

Tech Stack

Tools & technologies
AzureCloudDockerInformaticaJenkinsKubernetesPythonReactServiceNowSparkTypeScriptUnityVault

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Flexible work environment
  • Learning and career growth opportunities
  • Well-being and inclusion support
  • Health, dental, mental health, and vision coverage
  • Short- and long-term disability insurance
  • Life and AD&D insurance coverage
  • Adoption/surrogacy benefits
  • Wellness benefits
  • Employee/family assistance plans
  • Retirement savings plans, including pension
  • Global share ownership plan with employer matching contributions
  • Financial education and counseling resources
  • Paid holidays, vacation, personal, and sick days
  • Statutory leaves of absence
  • Incentive programs and incentive compensation tied to business and individual performance