Data Quality & Governance Architect

Croesus; Montreal (administrative region); On-site; CAD 110,000 - 150,000; Full time

Job summary

Croesus is seeking a Data Governance & Quality Expert to design, implement, and evolve data governance, quality, and security within the Croesus data platform. You will configure Unity Catalog, implement quality rules in Lakeflow SDP, and supervise data observability and metadata management.

You will work with internal teams to ensure published data meets governance and compliance standards, aligning with the Medallion architecture and AI-assisted development practices.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5–8 years of experience in data management, governance, or quality.
• Experience with Databricks or Lakehouse platforms and data governance practices.
• Experience in SaaS or multi-tenant environments.

Responsibilities

• Define and maintain data quality standards for pipelines and datasets.
• Implement validation rules in SDP pipelines and ingestion processes.
• Develop automated data quality monitoring and anomaly detection.
• Review published data models for canonical data model compliance.
• Manage Unity Catalog metadata, tagging, and classifications.
• Establish data lineage across Bronze, Silver, and Gold layers.
• Identify quality risks in AI-assisted development and design validation strategies.
• Collaborate with data engineering to embed governance in pipelines.

Skills

Data governance

Data quality

Databricks

Lakehouse

Metadata management

Data catalog

Data lineage

Quality assurance

Education

Bachelor's degree in Computer Science

Tools

Unity Catalog

Lakeflow SDP

Delta Lake

Job description

Croesus is seeking a Data Governance & Quality Expert to design, implement, and evolve data governance, quality, and security within the Croesus data platform. You will configure Unity Catalog, implement quality rules in Lakeflow SDP, and supervise data observability and metadata management.

You will work with internal teams to ensure published data meets governance and compliance standards, aligning with the Medallion architecture and AI-assisted development practices.