Senior Support Engineer – Data & Analytics Operations

Sun Life

Support Engineer for Data & Analytics operations at Sun Life. Responsible for maintaining core legacy applications and safeguarding client data across Cloud technologies.

Posted 5/1/2026full-timeNorth York • 🇨🇦 CanadaSenior💰 CA$90,000 - CA$140,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudETLInformaticaMS SQL ServerOraclePythonSQLUnix

About the role

Key responsibilities & impact

Work with stakeholders and business leaders to influence, impact, and deliver on operational improvements, incidents, assignments & solutions that are complex and strategic in nature
Act as Operations Lead as part of project/development teams to schedule implementation of changes
Lead, monitor, identify and implement operational improvements
Develop an understanding of the business applications supported as well as the business direction
Maintain and support end-to-end application operations
Perform performance tuning for queries, applications, and resources across the technology stack
Monitor and support jobs and application performance
Ensure compliance with Incident, Problem and Change Management policies and processes
Deploy enhancements to production using DevOps tooling
Ensure appropriate prioritization and resolution of defects in accordance with agreed upon SLA
Provide ongoing communication to key stakeholders regarding significant changes
Provide technical documentation including design and operational support documentation
Deliver innovative solutions by leveraging data and technology
Engage and work collaboratively with Project Teams, Operation teams and vendors

Requirements

What you’ll need

Background or education in Computer or Data Science, Engineering, Software Development or IT Application/Technical support
Experience with Cloud technology, including Big Data solutions preferably using Amazon Web Services (AWS) or equivalent Public Cloud
AWS or equivalent Cloud Certifications, including AWS Glue, Lambda, Redshift, Python/R, Hive/Athena, EMR, S3
Experience with ETL Tools; Informatica (IICS) on premise or Cloud (IDMC)
Knowledge of Very large data sets; ability to build programs that leverage distributed computing
Experience with Datawarehouse & Analytics technology; ETL Tools: Informatica PowerCenter/Informatica Intelligent Data Management Cloud (IDMC)
Familiarity with Mainframe technologies; TSO, ZEKE, JCL, COBOL
Proficiency in databases: Microsoft SQL Server, Oracle, DB2, flat files
Knowledge/Experience in Windows and Unix
Familiarity with SAP technologies: Universe Designer and Web Intelligence
Knowledge of Generative AI and Agentic AI is an additional asset

Benefits

Comp & perks

Competitive salary and bonus structure influenced by market range data
Pension, stock, and savings programs to help build and enhance your future financial security
An environment of continuous learning and improvement
Flexible hours and periodic work from home options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Cloud technologyBig Data solutionsAWSAWS GlueAWS LambdaAWS RedshiftPythonETL ToolsInformaticaDatawarehouse

Soft Skills

collaborationcommunicationleadershipproblem-solvingoperational improvementstakeholder engagementmonitoringdocumentation

Certifications

AWS CertificationsAWS Glue CertificationAWS Lambda CertificationAWS Redshift Certification