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Senior Full Stack Data Governance Engineer
ManulifeSenior full-stack engineer building secure data governance, AI, and cloud solutions on Azure and Databricks. Supporting Manulife’s international financial services business.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloudDockerInformaticaJenkinsKubernetesPythonReactServiceNowSparkTypeScriptUnityVault
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