Über
We are seeking a Lead Data Platform Solutions Engineer to join our Global Data Governance Technology team. This is an exciting opportunity to lead the design, strategy, and execution of robust, cloud-native infrastructure and data governance solutions that power enterprise-wide compliance and data quality initiatives. You will leverage modern technologies such as Microsoft Azure, Databricks, Informatica, and AI/ML tools to build scalable, secure, and intelligent platforms. This role offers the chance to influence platform strategy globally, mentor engineering teams, and deliver solutions that enable Manulife's mission of making decisions easier and lives better through trusted data. Position Responsibilities
Design and implement infrastructure solutions using Terraform for automated deployment and management. Develop and manage CI/CD pipelines using Jenkins, GitOps, and Groovy scripting to support continuous delivery. Deploy and manage Azure cloud infrastructure (Data Factory, SQL, Purview, Key Vault) ensuring performance, security, and scalability. Integrate and administer Databricks environments to support governance features, analytics, and ML workloads. Implement and manage APIM/APIOps solutions for enterprise integration patterns. Build and support platform capabilities for data governance (catalog, lineage, classification, test data management, access control, data quality) using Informatica IDMC. Incorporate AI/ML tools for data profiling, anomaly detection, and intelligent metadata tagging. Collaborate with data owners, architects, and governance leads to translate business needs into scalable solutions. Provide strategic direction, mentor global engineering teams, and align platform roadmaps with enterprise governance goals. Integrate, administer, and manage Databricks environments to support data governance features/roadmap within DBX Unity Catalog, analytics. Manage and implement APIM/APIOps solutions, particularly in support of Global segments. Required Qualifications
7+ years of experience with Terraform and Infrastructure-as-Code. 5+ years of experience with Jenkins, GitOps, and Groovy scripting. 7+ years of experience in Azure cloud infrastructure deployment and management. 5+ years of experience with Databricks (Spark, Delta Lake, MLflow, Unity Catalog) and APIM/APIOps. Strong understanding of data governance principles (access control, cataloging, data quality, data residency). Proven leadership in platform engineering at scale, with ability to influence technical strategy and collaborate globally. Preferred Qualifications
Experience with AI/GenAI stack and operations management. Experience in data and analytics projects in federated/global environments. Platform automation experience using Python or other scripting tools. Certifications in Azure, Databricks, or Informatica. 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. About Manulife and John Hancock
Manulife Financial Corporation is an important international provider of financial services that helps people make decisions in a more easy and better way. For more information about us, visit http://www.manulife.com. Manulife Is An Equal Opportunity Employer
In Manulife/John Hancock, we value our diversity. We strive to attract, develop, and retain a workforce as diverse as the clients we serve, and to foster an inclusive work environment where the strengths of cultures and people are leveraged. We are committed to equity in hiring, retention, advancement, and compensation, and we administer all of our practices and programs without discrimination based on race, ancestry, place of origin, color, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other aspect protected by applicable law. Our priority is to remove barriers to ensure equal access to employment. A human resources representative will work with applicants who require reasonable accommodation during the application process. All information that has been shared during the application process for accommodation will be stored and used in a manner consistent with Manulife/John Hancock's applicable laws and policies. To request a reasonable accommodation in the application process, please send us a message at recruitment@manulife.com. Referenced Salary Location
Toronto, Ontario Work Modalities
Hybrid Salary Range Is Expected To Be Between
$110,530.00 CAD - $205,270.00 CAD If you are applying for this position outside of the primary location, please contact recruitment@manulife.com to know the salary range for your location. The actual salary will vary based on local market conditions, geography, and relevant job-related knowledge, skills, qualifications, experience, and education/training. Employees are also eligible to participate in incentive programs and receive incentive compensation linked to business and individual performance. Manulife offers eligible employees a wide variety of customizable benefits, including health, dental, mental health, vision, short-term and long-term disability, life and accidental death and dismemberment insurance, adoption/surrogacy, and wellness, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pensions and a global equity ownership plan with employer matching contributions) and financial counseling and education resources. Our generous paid time off program in Canada includes holidays, vacation, personal days, and sick days, and we offer the full range of statutory employment absences. If you are applying for this position in the U.S., please contact recruitment@manulife.com for more information on U.S. specific paid time off provisions.
Sprachkenntnisse
- English
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