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.

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