Lead Data Engineer – Director Level

Manulife

Data Engineering Lead at Manulife, building scalable data platforms and collaborating with business units. Responsible for designing data solutions that drive measurable business impact and growth.

Posted 7/29/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$113,260 - CA$210,340 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data platforms and automated data pipelines using Azure Databricks, with a strong foundation in data architecture and engineering practices. Capable of translating business needs into technical requirements while fostering collaboration between technical and business teams.

Highest-signal resume keywords

Azure DatabricksData EngineeringPython ProgrammingSQL ProficiencyAutomated Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData TransformationData IngestionData VisualizationAnalytics TheoryOrchestration WorkflowsCloud Data TechnologiesData as a Service (DaaS)Data ModelingData Quality Improvement

Soft Skills

CollaborationCommunicationProblem-SolvingTechnical AdvisoryBusiness Insight Translation

Tools & Technologies

PowerBIAzureData Automation ToolsData Visualization ToolsCloud Platforms

Industry Keywords

Data ProductsAI and AnalyticsData PipelinesData Domain ExpertiseBusiness Context

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Build scalable data platforms, products, and automation
Design and build scalable data pipelines, automated data tools, and reusable data products on modern cloud platforms such as Azure Databricks to accelerate AI and analytics value delivery
Automate, modernize, and improve data pipelines and engineering processes to increase efficiency, reliability, and scalability
Deliver projects across data ingestion, engineering, visualization, and decision-making
Own the data domain and strengthen engineering quality
Serve as a data-domain subject matter expert and trusted technical advisor
Build a strong understanding of systems and the data environment by researching, exploring, and testing new data architecture, design ideas, and technologies
Collaborate with internal and external experts to improve data quality, platform reliability, access, and usability
Use technical documentation to develop a holistic understanding of the data domain
Enable analytics through strong data foundations and business context
Work with data scientists to turn business requests into high-value data products and capabilities
Partner with business teams and data scientists to build, improve, and deliver trusted, analysis-ready data
Help develop conceptual/logical data models, curated data layers, or semantic layers with clear business context
Partner with the business (Sales/Marketing/Product) and communicate clearly
Work with Sales, Marketing, Product, and other teams to understand needs and identify where data and analytics can support growth
Turn business insights into clear technical requirements focused on measurable impact
Explain technical ideas in plain language and confidently present solutions to non-technical audiences
Act as a connector between technical and business teams to keep goals, requirements, and delivery aligned
Grow data and analytics capability across the organization
Help business partners understand and use data and automation effectively
Identify and develop 'data champions' to increase profitable use of data
Learn key business concepts from partners and enable creative, effective use of data technologies

Requirements

What you’ll need

Bachelor’s degree (or higher) in computer science or quantitative field (e.g., Mathematics, Physics, Engineering)
Advanced experience with databases, data architecture, and modern data engineering practices
Strong programming skills in Python, SQL, Spark
Experience building automated data pipelines, orchestration workflows, and data transformation solutions in Azure Databricks or similar cloud data platforms
Experience with cloud data technologies—especially Azure, including Azure Databricks—and Data as a Service (DaaS)
Experience delivering analysis that supports management decisions; solid understanding of analytics theory and application
Experience with analytics and visualization tools (e.g. PowerBI) is a plus

Benefits

Comp & perks

Health, dental, mental health, vision insurance
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy and wellness benefits
Employee/family assistance plans
Retirement savings plans including pension and global share ownership plan with employer matching contributions
Financial education and counseling resources
Generous paid time off including holidays, vacation, personal, and sick days
Full range of statutory leaves of absence