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 deliveryBuild batch and incremental pipelines with Snowflake, Spark, and dbtDesign reliable, scalable, cost-effective cloud data systemsOwn data CI/CD, testing, orchestration, and observabilityEstablish AML-aligned quality, reconciliation, lineage, and retention controlsRequirements:
10+ years delivering production pipelines and distributed systems2-4+ years leading engineering teamsHands-on Snowflake and production Spark expertiseStrong data modeling and medallion architecture skillsExperience with Airflow, dbt, containers, Kubernetes, or infrastructure as codeBring senior engineering leadership and hands-on Snowflake, Spark, and cloud data expertise to RBC’s AML foundation.
J-18808-Ljbffr

📌 Senior Data Engineering Manager Winnipeg
🏢 Skillhub Solutions
📍 Winnipeg