Senior Data Governance Engineer X 2

89232
Toronto, Ontario
Contract
17 hours ago

Job Title: Senior Data Governance Engineer X 2
Location: Toronto, ON
Estimated Duration: 8 Months

Description:
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

  • 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
  • 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.

The pay range that the employer reasonably expects to pay for this position is between CA$91.00 and CA$101.00

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

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