Manager, Database Engineering

Looking to join a growing financial services team? Rogers Bank, a subsidiary of Canada's leading wireless, cable and media company, is expanding and seeking passionate individuals to develop and implement innovative financial solutions and experiences. The bank offers unique cash-back benefits and financing options for Rogers purchases using cutting-edge technology. Interested? Take the next step and consider this opportunity to make a meaningful impact with Rogers Bank.

Who we are looking for:

The Database & Data Platform Engineer – Rogers Bank Analyticsis a hands‑on role that sits at the heart of the Bank’s analytics ecosystem. You will own the analytics data platform that supports Credit Risk, Marketng, Fraud, and Collections, and turn raw data into curated datasets, datamarts, and decision feeds that these teams rely on every day.

Today, our core analytics data sits in a Postgres‑based warehouse. We are on a journey to unify this into an Adastra‑managed Databricks environment and to safely prepare for future integration of Rogers Telecom data under strict data privacy and regulatory requirements. Your work will directly enhance the Banks analytical capabilities by improving data infrastructure, reliability, and data flows into key systems.

This is a deeply technical, execution‑focused role. You will spend most of your time working with SQL, Python, Databricks, and our databases to build and run scalable pipelines, keep the platform healthy, and support decision systems that power millions of customer transactions and risk decisions. You will also partner closely with Technology, Credit Risk, Marketing, Fraud, Collections and other teams to understand data needs and bring new analytics into production.

Experience with Credit card data is a strong asset – for example, working with applications, transactions, payments , delinquency/charge‑off, or fraud data.

What you’ll do:

• Bank analytics data platform (Postgres → Databricks)
• Experience working in a bank/credit card industry
• Experience with TSYS
• Own the Bank’s analytics data platform – today on Postgres, with a proposed migration path to Databricks – used for Credit Risk, Marketing, Fraud, and Collections.
• Design and maintain curated analytics datasets (data models) that give a consistent view of customers, accounts, and risk events, with an eye to safely integrating Rogers Telecom data in the future.
• Build and improve data pipelines in SQL and Python to load, transform, and validate data into these curated datasets.
• Database reliability and operations
• Configure, maintain, and tune database servers (e.g., Postgres) and Databricks jobs/clusters to support reliable analytics and decision systems. Implement monitoring, alerting, and capacity management to catch issues early and keep performance strong.
• Manage backup, recovery, and data integrity practices, including overseeing restoration from corrupted or failed databases when required.
• Participate in incident response for high‑priority issues affecting analytics data, helping restore service and drive root‑cause fixes.
• Datamart and decision systems
• Lead the development and evolution of Datamart used for reporting, controls, and execution of risk and collections strategies for Bank and enabling Telco/Bank integration.
• Maintain and enhance analytics and decision systems (e.g., TRIAD, ADM-ACE), ensuring data feeds, rules, and batch processes run as expected.
• Support execution of decision rule changes in automation systems and advise on data design and implementation impacts.
• Run SQL‑based analysis to validate implementations, support model and strategy reviews, and answer ad hoc business questions.
• Automation, governance, and collaboration
• Review current data and database processes, recommend best practices, and implement automation to reduce manual effort and operational risk.
• Document data flows, data models, and controls to meet regulatory, audit, and internal governance expectations around data privacy and sharing.
• When required, act as a key liaison with Credit Risk, Marketing, Fraud, Collections, Product, Finance, Technology, and external partners, ensuring alignment on requirements and clear hand‑offs.
• Contribute to laying the data and platform foundations for future AI and advanced analytics initiatives in the digital space.

What you will bring:

• Hybrid database + data engineering experience
• 5+ years in database engineering / data engineering / reliability roles, with experience running production databases and building analytics data pipelines.
• Strong SQL skills and experience with relational databases (e.g., Postgres) and a modern data platform (e.g., Databricks or other Spark‑based systems).
• Practical programming and automation skills
• Proficiency in SQL/Python to build and maintain data pipelines, automation scripts, and Databricks jobs/notebooks.
• Experience with workflow orchestration tools and cloud platforms (e.g., Azure, AWS) to schedule, monitor, and recover jobs.
• Data modelling and quality mindset
• Experience designing and maintaining curated analytics datasets (data models) that are well‑structured, documented, and easy for analysts and data scientists to use.
• Strong focus on data accuracy, validation, and controls, especially in regulated environments such as banking or telecom.
• Operational ownership and incident response
• Comfort owning critical data systems, including responding to and troubleshooting production issues that affect reporting and decision systems.
• Experience with performance tuning, monitoring, and root‑cause analysis for databases and data pipelines.
• Collaboration and domain curiosity
• Ability to translate needs into clear data and platform requirements.
• Strong communication skills to work with both technical and non‑technical stakeholders and to document what you build.
• Self‑starter with attention to detail, able to manage multiple priorities and continuously learn in a fast‑moving environment.

To protect our people, brand and assets, a pre‑employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON
Travel Requirements: Up to 10%
Background Check(s) Required: Criminal Record and Credit Check
Posting Category/Function: Banking & Analytics
Requisition ID: 330722

To support career growth, collaboration, and high‑performing teams, all Corporate Employees are expected to work onsite a minimum of four (4) days per week starting October 6, 2025, increasing to five (5) days per week effective February 2, 2026. We believe that in‑person connection strengthens our culture and drives industry‑leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the.

Recruitment Process FAQ

Posting Notes: Rogers Bank