Senior Data Governance Engineer

Compunnel Inc.; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

Compunnel, Inc. is searching for a Senior Data Governance Engineer in Canada to design and implement data governance frameworks on cloud platforms. Responsibilities include building data pipelines with Azure, maintaining metadata management solutions, and ensuring data quality. Candidates should have a Bachelor’s degree and over 6 years of experience in data-focused roles. The position offers the opportunity to collaborate within Agile teams and support production release cycles, leveraging Azure and Databricks technologies.

Qualifications

• 6+ years of experience as a Data Engineer or similar roles.
• Strong expertise in Azure cloud services.
• Hands-on experience with Databricks Unity Catalog.
• Solid understanding of data warehousing and ETL/ELT development.

Responsibilities

• Design and implement scalable data governance frameworks.
• Build and operationalize data pipelines using Azure technologies.
• Develop and maintain metadata management solutions.
• Collaborate with cross-functional teams using Agile methodologies.

Skills

Azure cloud services

SQL

Python

DevOps

Power BI

Education

Bachelor’s degree in Computer Science, Information Systems or related field

Tools

Azure Data Factory

Azure Databricks

Databricks Unity Catalog

Informatica CDGC

Job description

JOB SUMMARY

This role is for a Senior Data Governance Engineer responsible for designing and implementing scalable data governance frameworks on cloud-based data platforms. The engineer will operationalize and automate data pipelines, develop and maintain metadata management solutions, and enforce data quality controls. Key responsibilities include advancing data lineage, implementing access controls and privacy measures, optimizing data processing, and driving continuous improvement initiatives. The role involves collaborating with cross‑functional teams within an Agile/Scrum environment and supporting production release cycles. A significant aspect of the role involves working with Data Stewards to manage the data quality lifecycle.

Key Responsibilities

• Design and implement scalable data governance frameworks to ensure data integrity, quality, privacy, and accessibility across cloud-based data platforms.
• Build, operationalize, and automate data pipelines using Azure Data Factory and Azure Databricks.
• Develop and maintain metadata management and cataloging solutions, leveraging Databricks Unity Catalog and Informatica CDGC.
• Engineer and enforce data quality controls and monitoring systems.
• Advance and maintain end‑to‑end data lineage using governance tools.
• Implement role‑based access control (RBAC), data masking, and privacy controls.
• Conduct performance analysis, optimization, and capacity planning for large‑scale data processing workloads.
• Drive continuous improvement initiatives by adopting industry best practices and emerging technologies.
• Collaborate effectively with cross‑functional and global teams.
• Operate within Agile/Scrum methodologies using collaboration tools like Teams, JIRA, and Mural.
• Support production release cycles and operational support.
• Collaborate with the Data Steward to mobilize data quality lifecycle including collecting business requirements, applying technical rules, and aiding in remediation plans.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
• 6+ years of experience as a Data Engineer or in similar data‑focused roles.
• Strong expertise in Azure cloud services, including Azure Data Factory (ADF), Azure Databricks, ADLS Gen2, Azure Synapse, and Azure SQL / SQL Server.
• Hands‑on experience with Databricks Unity Catalog for governance, lineage, and security management.
• Experience with Informatica CDGC for metadata management and lineage.
• Strong proficiency in SQL and Python; familiarity with Java or Scala for distributed data processing.
• Solid understanding of data warehousing, relational data modeling, ETL/ELT development, and cloud‑native data engineering patterns.
• Experience with DevOps and CI/CD pipelines for automating data workflows.
• Familiarity with Power BI (1–2 years) for building dashboards, data models, and supporting business intelligence use cases.
• Strong understanding of data security practices, including RBAC, encryption, and data masking.
• Experience with automation and scripting using Python, PowerShell, or similar tools.

Preferred Qualifications

• Excellent communication, interpersonal, and stakeholder management skills.
• Strong analytical, problem‑solving, and solution design capabilities.
• Commitment to continuous learning and process improvement.
• Familiarity with production release processes and operational support models.
• Working knowledge of AI.