Senior Data Engineer for Enterprise Lakehouse
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Summary
Senior Data Engineer leading the build-out of an enterprise lakehouse data platform for a large-scale Canadian broadband infrastructure company. Day to day: architecting ingestion, storage, governance, and observability, building batch/streaming pipelines, and mentoring engineers using Python, Scala, SQL, and cloud storage.
Elevate your career as a Senior Data Engineer focused on enterprise lakehouse architecture. This leadership role allows you to define data governance and engineering standards across the organization.
In this senior position, you will lead the creation of a scalable enterprise data platform at a company managing large-scale broadband infrastructure across Canada. You will oversee all aspects of data architecture, including ingestion, storage, governance, and observability while developing reliable data pipelines and integrating various data sources.
Key Responsibilities: • Architect and implement an enterprise lakehouse for analytics • Build batch and streaming pipelines from diverse data sources • Establish data governance, quality standards, and observability • Set engineering benchmarks for CI/CD and performance tuning • Mentor data engineers and collaborate on scalable data services
Requirements: • 10+ years data engineering experience, 4+ in a leadership role • Deep expertise with lakehouse architecture and cloud storage • Proficient in Python, Scala, and advanced SQL • Experience with Salesforce and telemetry integration • Knowledge of governance, CI/CD, and Canadian privacy laws
Drive innovation in data engineering while enhancing team development and governance standards.
In this senior position, you will lead the creation of a scalable enterprise data platform at a company managing large-scale broadband infrastructure across Canada. You will oversee all aspects of data architecture, including ingestion, storage, governance, and observability while developing reliable data pipelines and integrating various data sources.
Key Responsibilities: • Architect and implement an enterprise lakehouse for analytics • Build batch and streaming pipelines from diverse data sources • Establish data governance, quality standards, and observability • Set engineering benchmarks for CI/CD and performance tuning • Mentor data engineers and collaborate on scalable data services
Requirements: • 10+ years data engineering experience, 4+ in a leadership role • Deep expertise with lakehouse architecture and cloud storage • Proficient in Python, Scala, and advanced SQL • Experience with Salesforce and telemetry integration • Knowledge of governance, CI/CD, and Canadian privacy laws
Drive innovation in data engineering while enhancing team development and governance standards.