The role involves designing, building, and maintaining scalable ingestion pipelines within a Medallion architecture. The individual will be responsible for modeling and transforming business data to support operational reporting while ensuring data quality and reliability. This position requires implementing governed data access controls and maintaining comprehensive documentation for platform tables. The work includes collaborating with cross-functional teams to align designs with enterprise standards and governance requirements. Additionally, the role entails producing technical runbooks and supporting the deployment of data solutions across various environments.

The role requires five or more years of experience in data engineering, specifically within cloud-based analytical environments. Candidates must possess strong hands-on proficiency in SQL and Python, along with experience in building scalable data pipelines and transformation workflows. A solid understanding of data modeling, semantic layer design, and governed data access patterns is necessary. Furthermore, the position requires familiarity with Azure data services, Git-based CI/CD workflows, and PIPEDA compliance requirements.