Senior Data Governance Engineer – Azure/Databricks

Drive enterprise data governance and cloud data engineering within a complex insurance environment, leveraging Azure Data Factory, Databricks, and advanced metadata tools. This hybrid Toronto-based contract offers a strategic role shaping data quality, lineage, and security across large-scale platforms.

What is in it for you:

• Salaried: $90-98 per hour.
• Incorporated Business Rate: $100-115 per hour.
• Remote on Monday and Friday.
• On-site Tuesday to Thursday.

Responsibilities:

• Design and implement scalable data governance frameworks to ensure data integrity, quality, privacy, and accessibility across cloud-based platforms.
• Build, operationalize, and automate data pipelines using Azure Data Factory and Azure Databricks, ensuring performance, reliability, and alignment with business needs.
• Develop and maintain metadata management and cataloging solutions using Databricks Unity Catalog, Informatica CDGC, and related tools to enhance data discoverability.
• Engineer and enforce data quality controls and monitoring systems to meet internal standards and regulatory requirements.
• Advance and maintain end-to-end data lineage to provide transparency across the data ecosystem.
• Implement role-based access control, data masking, and privacy controls across cloud and analytics environments.
• Conduct performance analysis, optimization, and capacity planning for large-scale data workloads.
• Drive continuous improvement by adopting best practices and emerging technologies in data governance and engineering.
• Collaborate with cross-functional and global teams to align data initiatives with enterprise strategy.
• Work within Agile and Scrum frameworks using tools such as Teams, JIRA, and Mural.
• Support production releases and ongoing operations to ensure platform stability.
• Partner with Data Stewards to support the data quality lifecycle, including requirements gathering, rule implementation, and remediation planning.

What you will need to succeed:

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
• 6+ years of experience in data engineering or similar data-focused roles.
• Hands‑on experience with Databricks Unity Catalog for governance, lineage, and security.
• Experience with Informatica CDGC for metadata management and lineage.
• Strong proficiency in SQL and Python, with familiarity in Java or Scala for distributed processing.
• Solid understanding of data warehousing, relational modeling, ETL and ELT processes, and cloud-native architectures.
• Experience with DevOps practices and CI/CD pipelines for automating data workflows.
• Familiarity with Power BI for dashboards, data modeling, and business intelligence use cases.
• Strong knowledge of data security practices including RBAC, encryption, and data masking.
• Experience with automation and scripting using Python, PowerShell, or similar tools.
• Excellent communication, stakeholder management, and interpersonal skills.
• Strong analytical thinking, problem‑solving, and solution design capabilities.
• Commitment to continuous learning and process improvement.
• Familiarity with production release processes and operational support models.