Senior Data Governance Engineer – Azure/DatabricksDrive enterprise data governance and cloud data engineering within a complex insurance setting, 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.#J-18808-Ljbffr

📌 Senior Data Governance Engineer – Azure/Databricks - C$90 - C$98 An Hour (Toronto)
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📍 Toronto