Senior Data Platform Engineer

Design scalable data platforms with advanced SQL and Python as a Senior Data Engineer supporting analytics, AI-enabled experiences, and decision-making. Own production pipelines end-to-end.This senior role owns significant data platform components, including dbt transformations, data models, semantic layers, quality, and observability. You will establish engineering standards and deliver trusted data products. The work spans dimensional modelling, metadata, governed access, and AI-assisted engineering.Key Responsibilities:
Design scalable pipelines using dbt and medallion architectureLead dimensional modelling and semantic layer developmentBuild transformations, automation, and tooling with SQL and PythonImplement quality testing, monitoring, alerting, and observabilityMentor engineers and analysts while guiding technical decisionsRequirements:
Degree in Data Engineering or post-secondary educationMinimum five years of progressive data engineering experienceExpert SQL and strong Python proficiencyDeep hands-on dbt experience, including testing and documentationExperience with cloud warehouses and software engineering practicesApply senior data engineering expertise across dbt, modelling, observability, and governed AI-enabled data capabilities.
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