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Added 21 days ago
Senior Visualization Professional
Capgemini
Toronto, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 21 days ago
Velocity - AI Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Azure and/or Google Cloud Platform environments.
Added 25 days ago
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
Full-time
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
Added 26 days ago
Actimize Senior Developer
Pacer Group
Toronto, ON
$48 to $50 CAD / hour
Full-time
o Azure cloud services (Azure Data Factory, Azure SQL, Azure Storage, Databricks, etc.)
Added 26 days ago
Sr Manager, Data Product Management
Rogers Sports & Media
Toronto, ON
Full-time
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for data…
Added 26 days ago
Senior Solution Architect (Data & AI Solution Specialist)
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
Full-time
Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
Added 27 days ago
Senior Data Engineer
TekRek
Canada
Full-time
Hands-on experience with modern lake and warehouse technologies such as Databricks, Snowflake, Redshift, or Synapse, plus working knowledge of AWS or Azure.
Added 29 days ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 27 days ago
Data and AI Partnerships Lead
Synechron
Mississauga, ON
$160,000 to $180,000 CAD / year
Full-time
…initially focus on accelerating Synechron’s partnership with Databricks, while expanding relationships with other strategic Data and AI technology providers over…
Added 27 days ago
Senior Azure Cloud Engineer
Motion Recruitment
Toronto, ON
$78 to $92 USD / hour
Contract
A senior cloud engineering opportunity is available with an enterprise financial organization undertaking a significant Azure modernization initiative.
Added 26 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes.
Added 25 days ago
Senior Manager, Data Product Management - Bilingual English/Spanish
Scotiabank
Toronto, ON
Knowledge of modern data platforms and cloud environments (e.g., GCP, Azure, Databricks) is an asset
Added 25 days ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 23 days ago
Senior Data Software Engineer
Scotiabank
Toronto, ON
As a Senior Software Engineer on Scotiabank’s Data & AI Technology team, you will lead the design, development and scaling of our enterprise data catalog and data management solutions…
Added 26 days ago
Senior Systems Engineering
General Motors
Oshawa, ON · Markham, ON
Full-time
The Senior Systems Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation…
Added 26 days ago
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 29 days ago
Senior Data Scientist – Machine Learning, Python, SQL & Azure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Experience working in cloud-based data science environments, including Azure, Azure ML, Databricks, MLflow, and related cloud technologies, would be considered an asset.
Added 29 days ago
Data Quality Analyst
Kelly
Toronto, ON
Full-time
Experience with Azure and Databricks or comparable cloud/lakehouse technologies.
Added 29 days ago
Senior Machine Learning Engineer
J&M Group
Toronto, ON
Full-time
…expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle…
Added 27 days ago
Principal Technical Product Manager
ShyftLabs
Toronto, ON
Full-time
Serve as a senior product leader and primary product point of contact for Fortune 500 clients and stakeholders.
Added 27 days ago
Sr Manager, Data Product Management
Rogers Communications
Toronto, ON
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including: Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for…
Added 27 days ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies across cloud platforms,…
Added 1 month ago
Manager - Data Engineering (Microsoft Fabric Platform)
Deloitte
Toronto, ON
Full-time
Architect and deliver data ingestion, transformation, and integration pipelines using Fabric, Azure Data Factory, Spark, and SQL.
Added 1 month ago
Data Governance Lead
Deloitte
Toronto, ON
Full-time
Reporting, Metrics and Senior Stakeholder Communication
Added 1 month ago
Master Data Management - Manager
Deloitte
Toronto, ON
Full-time
…trustworthy AI & Data foundation possible. As a Manager and Senior Architect, you will help set the direction for the MDM and Data Engineering discipline, contributing to national…

Kelly

Data Quality Analyst

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 30, 2026
Experience: 8+ years of experience in Data Quality, Data Governance, or Enterprise Data Management, including 3+ years leading enterprise-wide DQ initiatives.
Posting language: English
Posted: Aug 31, 2026

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Original job description

Job Title: Data Quality Lead

FTE Role

Location: Toronto Ontario M5H 0A9

Position Overview

We are seeking an experienced Data Quality Management Lead to design, implement, and operationalize an enterprise-wide Data Quality (DQ) framework. This role will ensure critical data assets are accurate, complete, consistent, timely, and fit for purpose across business domains, supporting regulatory reporting, analytics, operational excellence, and strategic decision-making.

The ideal candidate is a senior Data Quality professional who combines strong DQ framework and controls experience with technical knowledge of modern data platforms. This individual will partner closely with Data Governance, Data Architecture, Engineering, Data Owners, and Data Stewards and will leverage automation and AI capabilities to modernize data quality monitoring, issue detection, and remediation.

Key Responsibilities

Data Quality Strategy & Framework

Design, implement, and operationalize the enterprise Data Quality Management framework, standards, procedures, and controls.
Translate DQ standards into actionable controls and practices across business domains and enterprise data platforms.
Align Data Quality practices with enterprise Data Governance, Risk Management, and Data Architecture strategies.
Establish scalable processes that improve overall Data Quality maturity across the organization.

Data Quality Monitoring, Controls & Issue Management

Design and implement automated DQ rules, validation checks, profiling, reconciliation, and certification processes for Critical Data Elements (CDEs).
Establish continuous monitoring and proactive issue detection across enterprise data pipelines.
Implement issue management workflows with clear ownership, SLA tracking, escalation, root-cause analysis, and remediation.
Identify recurring data quality trends and escalate material risks through appropriate governance channels.
Ensure data pipelines and implementations meet required data quality and control standards prior to production release.

Stakeholder & Stewardship Leadership

Partner with Data Owners and Data Stewards to establish clear accountability for data quality.
Facilitate domain-level DQ forums and working groups and provide guidance on DQ best practices and control design.
Collaborate with Data Governance, Metadata Management, Architecture, and Engineering teams to align DQ rules with lineage, classification, and enterprise data standards.
Support business testing, UAT, and pre- and post-production validation to ensure data integrity throughout delivery lifecycles.

Reporting, Automation & Continuous Improvement

Develop enterprise DQ dashboards, KPIs, scorecards, and reporting for senior leadership.
Track remediation effectiveness, trends, risk exposure, and continuous improvement metrics.
Identify opportunities to automate DQ monitoring, profiling, anomaly detection, root-cause analysis, and remediation.
Evaluate emerging technologies including Agentic AI, LLMs, autonomous agents, and AI-assisted development tools to improve Data Quality capabilities and operational efficiency.

Required Qualifications

Bachelor's degree in Information Systems, Data Management, Computer Science, or a related field.
8+ years of experience in Data Quality, Data Governance, or Enterprise Data Management, including 3+ years leading enterprise-wide DQ initiatives.
Demonstrated experience designing, implementing, and operationalizing enterprise Data Quality frameworks, controls, and programs.
Experience with enterprise DQ platforms such as Informatica Data Quality, Collibra DQ, Talend, Ataccama, or equivalent.
Strong SQL skills and experience with data profiling, reconciliation, data analysis, DQ rule design, and DQ metrics.
Experience embedding Data Quality controls into ETL/ELT, MDM, cloud, data lake, and modern enterprise data platforms.
Strong understanding of metadata management, data lineage, data classification, Critical Data Elements, and lifecycle management.
Demonstrated experience using modern AI tools to accelerate Data Quality engineering, rule creation, profiling, issue analysis, remediation, and documentation.
Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, Cursor, VS Code, or similar tools.
Experience applying AI agents to automated DQ rule generation, anomaly detection, issue analysis, or remediation.
Strong stakeholder management skills with the ability to work across business, governance, architecture, engineering, risk, and leadership teams.

Preferred Qualifications

Experience with Azure and Databricks or comparable cloud/lakehouse technologies.
Knowledge of BCBS 239, GDPR, SOX, ISO 8000, or similar regulatory and controls frameworks.
Experience leading AI adoption initiatives across Data Governance, Data Management, Analytics, or Engineering functions.
Experience building or using AI agents for metadata enrichment, automated lineage extraction, or intelligent Data Quality automation.
Relevant Data Quality, Data Management, cloud, Informatica, or Databricks certifications.

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More about this job

Responsibilities

Design and operationalize an enterprise-wide Data Quality framework to ensure critical data assets are accurate and fit for purpose. Lead the implementation of automated monitoring, issue management workflows, and AI-driven remediation strategies across business domains.

Requirements

Requires a Bachelor's degree and over 8 years of experience in Data Quality or Governance, with at least 3 years in a leadership role. Candidates must be proficient in SQL, enterprise DQ platforms, and the use of modern AI tools for data engineering.

Skills

Data Quality Management
Data Governance
SQL
Data Profiling
Informatica Data Quality
Collibra DQ
AI-Assisted Development
Stakeholder Management
ETL/ELT
Metadata Management
Data Lineage
Azure
Databricks
Root-Cause Analysis
KPI Reporting
Data Architecture

Visa sponsorship

Not detected in the job text

Keywords

Data Quality
Data Governance
Informatica
Collibra
Talend
Ataccama
SQL
Azure
Databricks
AI Agents
LLMs
GitHub Copilot
Claude Code
OpenAI Codex
Cursor
BCBS 239
GDPR
SOX
ISO 8000
Critical Data Elements
Data Lineage
Metadata Management
Data Lakehouse
ETL
ELT
MDM
Data Profiling
Banking
Data Architecture
Risk Management

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