Lead cloud data engineering at Ipsos using Python, SQL, and GCP to build reliable pipelines for large-scale datasets. This role requires technical leadership. As Lead Cloud Data Platform Engineer, you will expand Ipsos DataHub through production-grade architecture and platform components. You will apply BigQuery, GCS, serverless pipelines, and distributed systems expertise. The work includes reliability practices, incident response, CI/CD, and infrastructure as code. You will also mentor data engineers and guide technical decisions. Key Responsibilities:

Lead architecture, coding, testing, and delivery of cloud data pipelines Establish reusable engineering standards and technical guardrails Optimize warehouses and distributed systems for performance and reliability Provide code reviews,



debugging, production support, and mentorship Drive incident response, root-cause analysis, and corrective actions Requirements:

Eight-plus years in data or platform engineering Bachelor's degree in computer science or related field Proficiency in Python and advanced SQL knowledge Hands-on GCP experience with BigQuery and GCS Production experience with large-scale pipelines and distributed systems Bring cloud architecture, data reliability, Python, SQL, and technical leadership to Ipsos DataHub’s engineering work.

#J-18808-Ljbffr

📌 Lead Cloud Data Platform Engineer (Winnipeg)
🏢 Ipsos in Canada
📍 Winnipeg