Lead data engineering at RBC in Toronto, building cloud-native platforms with Snowflake, Spark, and dbt. This full-time role combines leadership with hands-on delivery. As Senior Manager, you will lead engineers while contributing to RBC’s AML Data Foundation Hub. You will design production pipelines, distributed systems, and scalable data platforms. The work spans data modeling, medallion architecture, CI/CD, Kubernetes or OpenShift, and infrastructure as code. Key Responsibilities:

Lead, mentor, and develop engineers through delivery Build batch and incremental pipelines with Snowflake, Spark, and dbt Design reliable, scalable, cost-effective cloud data systems Own data CI/CD, testing, orchestration, and observability Establish AML-aligned quality, reconciliation, lineage, and retention controls Requirements:

10+ years delivering production pipelines and distributed systems 2-4+ years leading engineering teams Hands-on Snowflake and production Spark expertise Strong data modeling and medallion architecture skills Experience with Airflow, dbt, containers, Kubernetes, or infrastructure as code Bring senior engineering leadership and hands-on Snowflake, Spark, and cloud data expertise to RBC’s AML foundation.

📌 Senior Data Engineering Manager (Toronto)
🏢 Skillhub Solutions
📍 Toronto