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 (British Columbia)
🏢 Ipsos in Canada
📍 British Columbia