Senior Full Stack Data Governance Engineer

Manulife Financial; Toronto; Hybrid; CAD 113,000 - 163,000; Full time

Job summary

Manulife Financial in Toronto, Canada, seeks a Senior Full Stack Data Governance Engineer to join our Global Data Governance Technology team. This hands-on role blends full-stack development, data engineering, AI engineering, and cloud platform integration to deliver scalable, secure, and intelligent solutions for data quality, lineage, access governance, and metadata management.

You will lead the design and deployment of full-stack data governance products on Azure and Databricks, build backend

Qualifications

• 5+ years in full-stack development and Azure cloud engineering.
• 3+ years with Databricks including Spark, Delta Lake, MLflow, and Unity Catalog.
• Strong Python with FastAPI and REST APIs.
• Experience with Azure services and enterprise platforms.
• Experience creating data dashboards with Power BI and React/TypeScript.
• Experience developing AI-powered solutions with Azure OpenAI and vector search.
• CI/CD, Jenkins, Azure DevOps, and Git experience.
• Excellent collaboration and leadership across teams.
• Bachelor’s or Master’s in CS/Engineering or equivalent.

Responsibilities

• Lead design, development, and deployment of full-stack data governance products.
• Develop scalable backend services and APIs using Python and Azure.
• Build front-end governance portals and dashboards.
• Design metadata management, data lineage, data quality, and access governance.
• Develop AI-powered capabilities using Azure OpenAI and RAG.
• Integrate Databricks Unity Catalog, Spark, Delta Lake, and MLflow.
• Implement CI/CD pipelines and DevOps best practices.
• Collaborate with cross-functional teams and participate in reviews.

Skills

Full-stack development

Azure Cloud

Python

React

Data governance

Power BI

CI/CD

Team leadership

Education

Bachelor's/Master's in CS/Engineering

Tools

Databricks

Informatica

Azure DevOps

Jenkins

Git

Cosmos DB

Unity Catalog

Job description

We are seeking a Senior Full Stack Data Governance Engineer to join our Global Data Governance Technology team. This hands‑on role combines full-stack application development, data engineering, AI engineering, and cloud platform integration to deliver scalable, secure, and intelligent solutions supporting data quality, lineage, access governance, metadata management, data discovery, and regulatory compliance.

Position Responsibilities:

• 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 modern 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 to support governed data processing and AI/ML use cases.
• Implement CI/CD pipelines, application security, monitoring, and DevOps best practices using Azure DevOps, Jenkins, and Git.
• Collaborate with cross‑functional teams and participate in architecture reviews, code reviews, sprint planning, and technical design discussions.

Required Qualifications:

• 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 services, including 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, with strong focus on user experience, performance, and data storytelling.
• Experience developing AI‑powered solutions using Azure OpenAI, RAG, vector search, prompt engineering, and agent workflows.
• Experience with Informatica IDMC (CDGC, CDQ, CDP, CDI), CI/CD pipelines, Jenkins, Azure DevOps, and Git.
• Strong problem‑solving, troubleshooting, and root‑cause analysis skills, with the ability to translate business and governance needs into scalable technical solutions.
• 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 code reviews, design 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 Skills

• Extensive experience with Informatica IDMC, including data integration, data quality, data profiling, metadata management, governance catalog, operational monitoring, ClAIre AI and lineage capabilities.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience working in a federated data governance model across global organizations.

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/lをご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 [e-mail]までご連絡をお願いします。

Referenced Salary Location

Toronto, Ontario

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [e-mail] for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short‑ and long‑term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [e-mail] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.