About the Role** We are seeking a Senior Data Governance Engineer to design and implement scalable data governance frameworks. This role will ensure data integrity, quality, privacy, and accessibility across cloud-based data platforms. The successful candidate will work with cross-functional teams to align data initiatives with enterprise strategy and support production release cycles to ensure platform stability. **Responsibilities** - Design and implement data governance frameworks for cloud-based platforms. - Build and automate data pipelines using Azure Data Factory and Azure Databricks. - Develop and maintain metadata management and cataloging solutions. - Engineer and enforce data quality controls and monitoring systems. - Advance and maintain end-to-end data lineage for transparency. - Implement role-based access control, data masking, and privacy controls. - Conduct performance analysis and capacity planning for data processing workloads. - Drive continuous improvement initiatives in data governance and engineering. - Collaborate with cross-functional and global teams. - Operate within Agile/Scrum methodologies using collaboration tools. - Support production release cycles and operational support. - Collaborate with the Data Steward to mobilize data quality lifecycle. **Education Qualification** - Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field. **Required Skills** - 6+ years of experience as a Data Engineer or in similar data-focused roles. - Expertise in Azure cloud services, including Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, and Azure SQL/SQL Server. - Hands-on experience with Databricks Unity Catalog and Informatica CDGC. - Proficiency in SQL and Python; familiarity with Java or Scala. - Understanding of data warehousing, relational data modeling, ETL/ELT development, and cloud-native data engineering patterns. - Experience with DevOps and CI/CD pipelines. - Familiarity with Power BI for building dashboards and data models. - 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.

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.