Toronto, ON Full-time Salary not specified Lead an engineering team and contribute hands-on to RBC’s AML Data Foundation Hub, building cloud-native data platforms and pipelines. Build and optimize batch and incremental data pipelines using Snowflake, Spark, and dbt. Design reliable, scalable, cost-effective data systems using cloud platforms, containers, Kubernetes or OpenShift, and infrastructure as code. Own data CI/CD, code review, testing, environment promotion, orchestration, and pipeline observability. Establish data quality controls, reconciliation, lineage, and retention practices aligned with AML and regulatory requirements. Partner with Platform and SRE teams on service objectives, incidents, and postmortems. 10+ years of engineering experience delivering production pipelines and distributed systems at scale, including 2-4+ years leading engineers. Hands-on Snowflake expertise, production Spark experience, and strong data modeling and medallion architecture skills. Experience with data quality, reconciliation, lineage, and data retention practices. Kafka or CDC, observability, security and privacy, financial services, and AWS experience are assets.

📌 Senior Manager, Engineer (Toronto)
🏢 Skillhub Solutions
📍 Toronto