Lead Quality Engineer - Data

Overview

The Lead Data Quality Engineer is responsible for creating and executing comprehensive data testing strategies and solutions, focusing on data validation, integrity testing, and quality assurance across data platforms and interfaces. This role ensures accurate test data delivery in a fast‑paced environment while providing technical expertise and mentorship to team members. It bridges data testing assurance with data engineering, architecture, and business teams to deliver robust, trustworthy data testing and test data solutions in a dynamic financial services environment.

• Develop and execute comprehensive data testing strategies and automated testing solutions for data validation across multiple platforms, interfaces, and ETL processes.
• Design and implement automated data testing scripts and frameworks to validate data accuracy, completeness, consistency, and conformance to business rules.
• Create and maintain test management documentation; define, track, and report on quality metrics.
• Review and enhance data testing strategies for new and existing data initiatives.
• Collaborate with cross-functional teams to translate business requirements into executable testing scenarios and validation rules.
• Manage defect tracking workflows and coordinate resolution with development and business teams.
• Work closely with vendors to implement testing solutions.
• Recommend improvements to testing processes, technology, and interfaces that enhance testing effectiveness.
• Own test data management strategy and automation; ensure test data is properly provisioned, maintained, and compliant with data governance policies.

Must Have:

• 6+ years of hands‑on experience in data testing and validation across various data platforms, interfaces, and data warehouses.
• 5+ years of experience working with and testing relational databases; ability to write and test complex SQL queries and stored procedures.
• Strong proficiency with data testing and validation tools (e.g., DVO, Query Surge) and data profiling tools.
• Strong understanding of data models, ER diagrams, and ability to analyze complex data mapping and business rule documentation.
• Experience with ETL tools like IICS, Informatica Power Center, or similar, and ETL scheduler tools.
• Proven experience in test data management strategy, provisioning, and automation; understanding of data governance and compliance requirements.
• Proven ability to mentor team members (onshore & offshore) and provide technical direction.
• Proficiency with Git version control, branching strategies, and experience testing in a continuous delivery (CI/CD) environment.
• Experience with test management tools (Azure Test Plans, Jira QMetry) and quality metrics reporting.

Nice to Have:

• Knowledge about data obfuscation routines.
• Experience using AI tools like Copilot for test design or test automation.

• Comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, commissions, and stock options where applicable.
• Leadership support through coaching and development opportunities.
• Opportunity to make a lasting impact and work on challenging projects.
• Dynamic, collaborative, high‑performing team environment.
• World‑class training program in financial services.
• Flexible work/life balance options.

Location:

180 Wellington St W, Toronto, Canada

Hours:

37.5 per week

Employment Type:

Full time

Pay Type:

Salaried