Sr. Support Engineer; Data & Analytics Operations (Cloud/Data Warehouse)

Sun Life Financial, Inc.

$90K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years experience with Datawarehouse and Analytics technologies
  • Proficient in ETL tools like Informatica PowerCenter and IDMC
  • Familiarity with mainframe technologies including TSO, JCL, and COBOL
  • Strong SQL skills and experience with databases such as MS SQL Server and Oracle
  • Knowledge of AWS technologies and cloud services

Responsibilities

  • Lead operational support initiatives with key business stakeholders
  • Monitor application performance and resolve discrepancies
  • Drive operational improvements and implement solutions
  • Oversee job deployments and manage enhancements using DevOps tools
  • Ensure compliance with incident and problem management processes

Benefits

  • Pension, stock, and savings programs for financial security
  • Flexible hours with work-from-home options
  • Continuous learning and professional development opportunities
Full Job Description
Job Description:

The Sr Support Engineer on the Data & Analytics Operations team, is responsible for safeguarding our client's data, by providing superior operational support both on premise and in the Cloud.

This role requires 24x7 support on a rotational basis and is subject to Over Time.

We are looking for a candidate that is deeply curious and possesses the keenness to learn, develop and execute with excellence.

If you have a background or education in Computer or Data Science, Engineering, Software Development or IT Application/Technical support, this role may be for you.

Technical Experience

4+ Years of experience with the following Datawarehouse & Analytics technologies is required:

  • Datawarehouse (DW) and Business Intelligence (BI) environments
  • ETL Tools: Informatica PowerCenter/Informatica Intelligent Data Management Cloud (IDMC)
  • Mainframe technologies; TSO, ZEKE, JCL, COBOL
  • Databases: Microsoft SQL Server, Oracle, DB2, flat files
  • Knowledge/Experience in Windows and Unix
  • SQL Scripting
  • SAP technologies: Universe Designer, Web Intelligence, Crystal Reporting
  • Experience using GitHub Copilot


As we transform our internal business support model in Data & Analytics Operations, new employees will have the requirement to learn and support the following tools and platforms therefore, these skills are a definite asset:

  • Big Data solutions experience preferably using Amazon Web Services (AWS) or equivalent Public Cloud
  • AWS or equivalent Cloud Certifications
  • AWS Glue, Lambda, Redshift, and Python/R
  • DevOps: BitBucket, CICD Pipeline, Ansible, Jenkins
  • Generative AI
  • Agentic AI


What you will do on a day to day basis:

Operations Lead Support:
  • Work with stakeholders, business leaders to influence, impact, and deliver on operational improvements, incidents, assignments & solutions that are complex and strategic in nature.
  • Act as Operations Lead working with project development teams to ensure transition of operational support


Day to Day Competencies:
  • Maintain and support end-to-end application operations
  • Monitor and support jobs and application performance
  • Use excellent analytical skills to dive into the processes we support to resolve complex data discrepancies or job failures
  • Lead, monitor, identify and implement operational improvements
  • Develop an understanding of the business applications supported as well as the business direction
  • Ensure compliance with Incident, Problem and Change Management policies and processes
  • Deploy enhancements to production jobs using DevOps tools
  • Ensure appropriate prioritization and resolution of defects in accordance with agreed upon SLA
  • Provide on-going communication to key stakeholders to ensure they are aware of significant changes in a timely manner
  • Provide technical documentation that includes design and operational support documentation
  • Deliver innovative solutions by leveraging data and technology
  • Engage, influence and work collaboratively with Project Teams, Operation teams and vendors
  • Proactively share knowledge and coach others to build the support engineering community


What's in it for you?
  • 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


Salary Range:
90,000/90 000 - 140,000/140 000

Job Category:
IT - Technology Services

Posting End Date:
10/07/2026

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