About the role

Director of Data Engineering enabling the building and support of Azure data pipelines for analytical use cases. Leading a group of data engineers at Manulife.

Responsibilities

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
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 the latest guidelines and Azure standard methodologies
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.

Bachelor’s in computer/IT or data related fields required
Master’s degree is a plus
10 + years of previous data engineering experience
5+ years of experience working in enabling azure related data technologies
Proficient knowledge in Azure infrastructure including subscriptions, resource groups, resources, RBAC for access control, Azure AD integration, and security principles
Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL
Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks
High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines
Knowledge of implementing azure technologies and networking via terraform along with ability to fix issues with Azure infrastructure
Proficient in data modeling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall
Solid understanding of data privacy and compliance regulations and standard methodologies for preserving customer data.

health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
financial education and counseling resources
generous paid time off program in Canada including holidays, vacation, personal, and sick days
full range of statutory leaves of absence