Data Quality Analyst

Job Description: Data Quality Analyst (Databricks Focus) Location Montreal & Toronto About the Company We are seeking a highly analytical Data Quality Analyst to help ensure the integrity, consistency, and reliability of enterprise data assets within our modern data platform built on Databricks. What we offer : Benefits: 3 weeks of vacation 5 days of flexible sick leaves $2000 reimbursement for professional certifications and continuing education requirements Flexible working hours Half-day Fridays year-round Company health and dental plans, with an additional $300 personal wellness expense account Employee assistance program with access to mental health, legal, and financial counseling services Employee profit-sharing plan with employer contribution Monthly company-wide recognition awards Company social events, including webinars, town halls, and team activities Casual dress code Free parking at the office Position Summary The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality across enterprise data domains including sales, finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for someone who enjoys combining technical data expertise with business problem-solving and wants to help build a scalable, trusted data foundation in a fast-paced, multi-brand restaurant organization. This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement controls, and drive continuous improvement. The ideal candidate has hands-on experience with Databricks, SQL, data quality frameworks, and large-scale data environments, along with strong problem-solving and stakeholder management skills. Key Responsibilities Data Quality Management Define, implement, and maintain enterprise data quality rules and controls. Monitor data quality metrics including completeness, accuracy, consistency, timeliness, uniqueness, and validity. Investigate and resolve data anomalies, discrepancies, and root causes. Develop data quality scorecards and dashboards for business and technical stakeholders. Establish data quality SLAs and KPIs across critical business datasets. Databricks Platform Responsibilities Design and implement automated data quality checks within the Databricks environment. Build and maintain data validation processes using Databricks SQL, PySpark, and Delta Lake. Monitor data pipelines and data products for quality issues. Partner with Data Engineers to embed quality controls throughout ingestion, transformation, and reporting processes. Leverage Databricks workflows and monitoring capabilities to proactively identify data issues. Data Governance & Stewardship Collaborate with data owners and business teams to define data standards and business rules. Support master data management initiatives. Document data definitions, lineage, quality rules, and issue resolution processes. Participate in governance committees and data stewardship activities. Ensure compliance with data governance policies and regulatory requirements. Analysis & Reporting Conduct data profiling and quality assessments on new and existing datasets. Perform root cause analysis and recommend corrective actions. Create executive-level reporting on data quality trends and improvement initiatives. Support audits and data validation efforts related to financial and operational reporting. Cross-Functional Collaboration Work closely with: Data Engineering Data Products Analytics & BI Finance/Accounting Operations Supply Chain Marketing & Loyalty Translate business requirements into measurable data quality controls. Key Performance Indicators (KPIs) Reduction in critical data quality incidents. Improvement in enterprise data quality scores. Percentage of automated data quality controls implemented. Mean time to detect and resolve data issues. Compliance with data governance standards. Stakeholder satisfaction with data reliability and trust. Required Qualifications 3+ years of experience in Data Quality, Data Analytics, Data Governance, or related roles. Data Management certification (CDMP preferred) Strong SQL skills with experience querying large datasets. Experience working with cloud-based data platforms (Azure, AWS, or GCP). Knowledge of ETL/ELT processes and modern data architectures. Experience performing data profiling, validation, and reconciliation activities. Strong analytical and troubleshooting skills. Excellent communication and stakeholder management abilities. Required technical skills: SQL Delta Lake Data Profiling Data Validation Root Cause Analysis Data Governance Preferred Qualifications Experience in restaurant, retail, franchising, hospitality, or multi-location operations. Experience with: PySpark Python Databricks Workflows Unity Catalog Delta Live Tables Data Observability tools Familiarity with data governance frameworks and stewardship practices. Knowledge of Master Data Management (MDM) concepts. Experience implementing automated data quality frameworks. Preferred technical skills: Databricks SQL Databricks Lakehouse Platform Python PySpark Azure Data Factory Apache Spark Unity Catalog Delta Live Tables Power BI Git CI/CD pipelines Please note that any offer of employment will be conditional upon a background check, including a criminal record check. *The majority of our clients and a large proportion of our employees are outside Quebec*.

The Data Quality Analyst will monitor and improve data integrity across enterprise domains using Databricks, SQL, and PySpark. They will establish data quality standards, implement automated controls, and collaborate with cross-functional teams to ensure a trusted data foundation.

Requires 3+ years of experience in data quality or governance and strong SQL skills with cloud-based data platforms. A CDMP certification is preferred, along with experience in data profiling and reconciliation.

• 3 weeks of vacation • 5 days of flexible sick leaves • Professional certifications and continuing education reimbursement • Flexible working hours • Half-day Fridays • Health and dental plans • Personal wellness expense account • Employee assistance program • Employee profit-sharing plan • Company-wide recognition awards • Company social events • Casual dress code • Free parking

• Power BIPreferred
• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Databricks
• Delta Lake
• Data Profiling
• Data Validation
• Root Cause Analysis
• Data Governance
• PySpark
• Python
• Unity Catalog
• Delta Live Tables
• Data Observability
• Master Data Management
• Azure Data Factory
• Power BI
• CI/CD pipelines

• Data & Analytics
• Technology
• Food & Beverage
• Hospitality
• Software

Minimum education

Professional degree

Minimum experience

3+ years

Apply by

Sep 17, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Associate

Application method

Direct apply is available