Senior Data Engineering Manager
Summary
Lead data engineering for RBC's AML Data Foundation Hub in Toronto, mentoring engineers while staying hands-on building batch and incremental pipelines and scalable cloud data platforms. Core stack: Snowflake, Spark, dbt, plus CI/CD, Kubernetes/OpenShift, and infrastructure as code.
Lead, mentor, and develop engineers through delivery Build batch and incremental pipelines with Snowflake, Spark, and dbt Design reliable, scalable, cost-efficient 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.
