Lead Data Engineer

at  Manulife

We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today.

THE OPPORTUNITY

Looking for a Lead Data Engineer to join the Canada Data Office here at Manulife!
Lead engineer will enable the building, maintenance, enhancements, and support of new and existing Azure data pipelines for various analytical use cases inclusive of AI/ML/BI/GEN AI and reporting. You will lead and mentor a group of data engineers and partner with collaborators in understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife’s IT security and risk guidelines.

• Gain deep understanding of data by collaborating with business and advanced analytics partners; demonstrate the understanding to design, curate and publish connected data sets that enables users to self-serve.
• Lead on ensuring our Azure applications in prod run within SLA and ensure their robustness and security.
• Propose technology improvements or come up with innovative solutions to solve business problems.
• Collaborate with Architecture, security and risk teams and implement latest guidelines and Azure standard methodologies.
• Lead, mentor and guide data engineers to promote customer first approach.
• Automate infrastructure provisioning and deployment using tools such as terraform.
• Implement CI/CD pipelines that enables automated code deployment.
• Participate in Agile sprints and ceremonies; supports rapid iteration and development.
• Take lead in maintaining the inventory of critical data elements and lineage.Cultivate and maintain strong relationships and fosters collaboration with various teams and partners within the organization.