Hybrid Director – Lead Data Engineer

Posted 3 weeks ago

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About the role

  • 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.

Requirements

  • 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.

Benefits

  • 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

Job title

Director – Lead Data Engineer

Job type

Experience level

Senior

Salary

CA$110,530 - CA$205,270 per year

Degree requirement

Bachelor's Degree

Location requirements

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