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Sun Life

Senior Data Engineer

Sun Life

. Design and engineer data models for key business entities including Advisors, Clients, and Products .

Posted 10/23/2026full-timeToronto • CanadaSenior💰 CA$85,000 - CA$128,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and engineering data models, ensuring data quality and integrity, and implementing data products for analytical use cases. Proficient in cloud technologies and programming languages essential for data processing and analytics.

Highest-signal resume keywords
AWS ExperienceSnowflake ProficiencyPython ProgrammingData GovernanceData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingETL PipelinesSQLPySparkData QualityData WarehousingMaster Data ManagementBig Data TechnologiesData IntegrationAnalytical Models
Soft Skills
Excellent Communication SkillsCollaborationStakeholder Engagement
Tools & Technologies
AWSSnowflakeParquetIcebergSpark
Certifications & Qualifications
Undergraduate Degree in Computer ScienceGraduate Degree in Business or Quantitative Science
Industry Keywords
Data GovernanceData QualityData ManagementFinancial ServicesAgileAIMachine Learning

Tech Stack

Tools & technologies
AWSCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Design and engineer data models for key business entities including Advisors, Clients, and Products
  • Maintain high data quality and integrity across business data sources
  • Convert complex business and technical rules into data-flow and pipeline logic
  • Interpret enterprise data to derive business value
  • Work with Data Science teams to implement data products for varied use cases
  • Collaborate with stakeholders and incorporate requirements into solution designs
  • Standardize metadata into a common glossary and document it for data consumers
  • Build enriched data products supporting analytical models across Canadian business units
  • Partner with CXO stakeholders, enterprise governance and risk partners, and data practitioners
  • Bridge business-consumer requirements and data-engineering practices as a senior individual contributor

Requirements

What you’ll need
  • 3-5 years hands-on experience with major cloud technologies and programming languages for data processing and analytics
  • 3+ years of experience with AWS and Snowflake for ETL pipelines, catalog management, data quality, and governance
  • 3+ years of experience and proficiency in Python, PySpark, and SQL
  • Experience optimizing Spark and SQL job cost and performance
  • 5 years hands-on experience with relational database systems, relational, dimensional, and analytical models
  • 3-5 years of experience engineering data products for analytical models
  • 3-5 years building feedback loops between model deployment and data
  • Understanding of data management, data warehousing, data quality, master data management, data governance, and data modelling
  • Ability to extract, conform, and integrate operational data sources into production-grade data products
  • Experience with Parquet and Iceberg
  • Experience with very large datasets and big data technologies
  • Excellent verbal and written communication skills and ability to partner with Data Scientists
  • Ability to satisfactorily complete applicable background checks
  • Reliability Status Clearance required before starting employment
  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
  • Graduate degree in business or quantitative science strongly preferred
  • Understanding of Agile, AI and machine learning concepts, AWS and Snowflake AI services, statistical models, DevOps technologies, and financial services is nice to have

Benefits

Comp & perks
  • Wellness programs supporting mental, physical, and financial health
  • Career mobility across a variety of career paths
  • Networking opportunities
  • Hybrid work flexibility, with choice to work from home or the office based on business, Client, and individual needs
  • Incentive plans for eligible employees, subject to individual and company performance
  • Accommodation support for persons with disabilities