Specialist, Data Quality Developer

Vale • Toronto, ON

8d • CA$112,000 • Onsite

About The Position

The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM) solutions that ensure enterprise data is accurate, consistent, secure, and reliable. This role supports business decision-making by delivering trusted, high-quality data for analytics, reporting, and AI initiatives. You will operate as a senior hands-on individual contributor who can independently define, configure, deploy, and operationalize data quality rules, cataloging capabilities, stewardship workflows, and governance controls across enterprise data domains.

Requirements

• 8+ years of experience in data development, data quality, data governance, or data management
• Strong experience designing, configuring, and implementing enterprise data quality and MDM solutions from requirements through production support
• Experience implementing data cataloging, metadata management, glossary, lineage, and stewardship workflows in enterprise environments
• Experience working with privacy, data protection, and security controls for sensitive data, including masking, tokenization, and access management
• Proven ability to operate as a senior hands-on individual contributor, independently driving technical design and implementation with minimal supervision
• Strong experience collaborating with cross-functional teams including architects, governance leads, stewards, analysts, and business stakeholders
• Strong knowledge of enterprise Data Quality, MDM, data governance, data cataloging, and data stewardship practices
• Proven ability to define, configure, deploy, and operationalize data quality rules, controls, scorecards, and remediation workflows
• Experience with data catalog and metadata management capabilities including glossary, lineage, classification, and tagging
• Strong understanding of data governance frameworks, ownership models, critical data elements, and control monitoring
• Knowledge of data privacy and security techniques including tokenization, detokenization, masking, encryption, and access controls
• Proficiency in SQL, Python, and ETL/ELT tools
• Experience with Informatica (IDQ, MDM) and Azure Data Services; familiarity with catalog/governance tools such as Purview, Collibra, Atlan, or Informatica EDC is an asset
• Data modeling, integration, APIs, DevOps, and metadata/lineage expertise
• Strong analytical, problem-solving, communication, and stakeholder engagement skills
• Ability to manage multiple priorities in dynamic environments while working independently and driving outcomes end to end
• Bachelor’s degree in computer science, Data Science, Software Engineering, or a related field

Nice To Haves

• Certification in Data Management (e.g., DAMA)
• Cloud certifications (Azure) and data engineering certifications

Responsibilities

• Design, build, and maintain data quality pipelines for profiling, validation, cleansing, enrichment, and monitoring
• Independently define, configure, deploy, test, and operationalize enterprise data quality rules, thresholds, scorecards, and controls
• Develop exception handling, remediation workflows, root-cause analysis processes, and issue management mechanisms to improve data quality outcomes
• Automate data quality checks to improve reliability, reduce manual effort, and support production operations
• Optimize performance, scalability, resiliency, and fault tolerance of data quality solutions
• Design and implement MDM domain models, canonical data models, hierarchies, reference data structures, match/merge rules, and survivorship logic
• Configure MDM platforms, onboarding workflows, mastering processes, golden record design, and integrations across source and consuming systems
• Develop ingestion, validation, stewardship, and publication pipelines to support trusted master data across systems
• Establish data standards, crosswalks, deduplication strategies, and data quality controls aligned to governance requirements for critical master data domains
• Support issue resolution, survivorship tuning, hierarchy maintenance, and ongoing operational support for enterprise MDM solutions
• Partner with data stewards and governance teams to establish stewardship workflows, ownership models, critical data elements, business glossaries, and governance controls
• Build integrations between DQ/MDM/catalog platforms and enterprise systems, APIs, data lakes, and cloud data platforms
• Implement and support data cataloging capabilities including metadata harvesting, lineage integration, glossary curation, classification, and tagging
• Support cloud-based data environments (e.g., Azure) and ensure secure, compliant, and governed data movement across platforms
• Apply data security techniques such as tokenization, detokenization, masking, encryption, and access controls for sensitive and regulated data
• Monitor system performance, scalability, and operational health of data quality and governance solutions
• Implement and enforce data governance policies, standards, controls, and operating model requirements across critical data domains
• Apply data privacy principles and regulatory requirements by supporting sensitive data identification, classification, retention, minimization, and compliant handling practices
• Monitor data quality KPIs, issue trends, and control effectiveness, and implement alerting and remediation mechanisms
• Maintain metadata, lineage, audit trails, governance artifacts, and compliance documentation to support transparency and traceability
• Deliver trusted datasets for reporting, analytics, and AI use cases
• Ensure data integrity across dashboards and reporting environments
• Guide teams on best practices for consuming curated data
• Translate business requirements into technical data solutions
• Partner with data architects, governance teams, and business SMEs
• Communicate data issues, insights, and recommendations clearly
• Create documentation, training materials, and knowledge-sharing sessions
• Support adoption of DQ/MDM tools and processes across the organization
• Drive continuous improvement initiatives

Benefits

• Competitive compensation including a variable annual incentive plan
• Participation in a competitive Defined Contribution Pension package
• Comprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)
• Leave for all of life’s reasons (vacation, personal, sick, parental)
• Work culture dedicated to safety, diversity & inclusion, and career growth
• Employee Family Assistance Program
• Virtual Healthcare online
• Online training and career development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior