Senior Azure Data Engineer with strong Data Factory and Databricks experience to design and implement scalable data governance frameworks- 16429

Senior Azure Data Engineer with strong Data Factory and Databricks experience to design and implement scalable data governance frameworks- 16429

Desired Location - Hybrid/Toronto, Tues, Wed, and Thu

Estimated Start Date: 04/06/2026- 12/15/2026

Hours: 37.5 Hours Per Week

Senior Data Governance Engineer

Roles and 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, ensuring performance, reliability, and alignment with business requirements.

• Develop and maintain metadata management and cataloging solutions, leveraging Databricks Unity Catalog, Informatica CDGC, and other governance tools to improve data discoverability and transparency.

• Engineer and enforce data quality controls and monitoring systems, ensuring compliance with internal standards and regulatory requirements.

• Advance and maintain end to end data lineage using governance tools to provide full transparency across the data ecosystem.

• Implement role-based access control (RBAC), data masking, and privacy controls across cloud and analytics environments.

• 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 in data governance and data engineering.

• Collaborate effectively with cross-functional and global teams to align data initiatives with enterprise strategy.

• Operate within Agile/Scrum methodologies using collaboration tools like Teams, JIRA, and Mural.

• Support production release cycles and operational support, ensuring platform stability.

• Collaborate with the Data Steward to mobilize data quality lifecycle including but not limited to collecting business requirements, applying technical rules, and aid in remediation plan.

Required Knowledge and Skills

• 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
• 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.