Data Quality Champion: Enterprise Data & Governance

MTY Food Group; Minnetonka (MN); On-site; USD 70,000 - 95,000; Full time

Job summary

MTY Food Group is seeking a Data Quality Analyst to monitor and improve data quality across enterprise domains including sales, finance, operations, supply chain, loyalty, and customer data. You will collaborate with Data Engineering, BI, and Governance teams to establish standards and drive continuous improvement in a fast-paced, multi-brand restaurant organization.

The ideal candidate has hands-on experience with Databricks, SQL, and data quality frameworks, plus strong problem-solving and

Qualifications

• 3+ years in Data Quality, Analytics, or Governance.
• Strong SQL on large datasets.
• Experience with cloud data platforms (Azure/AWS/GCP).
• Knowledge of ETL/ELT and data architectures.
• Experience with data profiling, validation, and reconciliation.
• Excellent communication and stakeholder management.

Responsibilities

• Define, implement, and maintain data quality rules and controls.
• Build data quality scorecards and dashboards for stakeholders.
• Design automated data quality checks in Databricks.
• Monitor pipelines and data products for quality issues.
• Collaborate with data owners to define standards and rules.
• Provide executive-level reporting on data quality trends.
• Track KPIs and ensure regulatory compliance.

Skills

SQL

Data Profiling

Data Validation

Data Governance

Databricks

PySpark

Delta Lake

ETL/ELT

Education

CDMP certification

Tools

Azure

AWS

GCP

Databricks Workflows

Unity Catalog

Job description

MTY Food Group is seeking a Data Quality Analyst to monitor and improve data quality across enterprise domains including sales, finance, operations, supply chain, loyalty, and customer data. You will collaborate with Data Engineering, BI, and Governance teams to establish standards and drive continuous improvement in a fast-paced, multi-brand restaurant organization.

The ideal candidate has hands-on experience with Databricks, SQL, and data quality frameworks, plus strong problem-solving and