Lead cloud data engineering at PwC in Toronto, applying architecture and modern pipeline expertise to enterprise analytics solutions. Collaborate with clients and technical teams.As a Manager, Data Engineering, you will design, architect, and deliver up-to-date data platforms across Azure, GCP, and AWS. Your work spans Apache Airflow, Spark, Databricks, SQL, and Python while supporting cloud migration, lakehouse implementation, and analytics initiatives. You will also coach engineers and architects.Key Responsibilities:
Lead scalable, secure, and resilient cloud data platform deliveryTranslate requirements into end-to-end cloud solution architecturesOversee batch and real-time data pipelinesDefine standards for quality, monitoring, testing,



and automationCoach engineers and architects through reviews and feedbackRequirements:
Significant hands-on data engineering and cloud platform experienceExperience leading technical teams or workstreamsStrong Azure, GCP, or AWS architecture experienceHands-on Apache Airflow, Spark, or Databricks experienceProficiency in SQL, Python, DevOps, and data architectureBring cloud architecture, pipeline delivery, and technical leadership to PwC’s Toronto data engineering practice and client solutions.
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📌 Manager Cloud Data Engineering (Winnipeg)
🏢 PwC
📍 Winnipeg