Lead Data Platform Solutions Engineer
Listed on 2025-12-27
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IT/Tech
Data Engineer, Cloud Computing
Position Responsibilities
- Design and implement infrastructure solutions using Terraform for automated deployment and management.
- Develop and manage CI/CD pipelines using Jenkins, Git Ops, 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.
- 7+ years of experience with Terraform and Infrastructure-as-Code.
- 5+ years of experience with Jenkins, Git Ops, 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.
- 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.
- 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.
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit
Manulife is an Equal Opportunity EmployerAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact
Toronto, Ontario
Working ArrangementHybrid
Salary range is expected to be between$ CAD - $ CAD
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