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From the employer's careers site First seen 13 Nov 2026

Senior Manager, Engineering & Build (Hands-On Leader)

RBC Toronto, Ontario senior full-time

The employer hasn't listed a salary.

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Description

We are looking for a Senior Manager, Engineering & Build (Hands-On Leader) to join our team. As a hands-on data engineering leader, you will thrive on building high-performing teams and high-scale data platforms.

Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture.

As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable data systems.

Responsibilities:

  • Lead, mentor, and grow a high-performing team; drive delivery excellence, coaching, goal setting, and continuous improvement.
  • Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
  • Implement schema evolution, SCD/CDC, partitioning, and performance tuning.
  • Architect for reliability, scalability, and cost efficiency on cloud platforms.
  • Containerize jobs/services, run on Kubernetes/OpenShift, apply IaC, and secure secrets and credentials.
  • Own CI/CD for data (code review, environment promotion, data contract testing), versioned artifacts, and environment parity.
  • Partner with Platform/SRE on SLIs/SLOs, incident response, and postmortems.
  • Engineer resilient, observable ingestion patterns (batch first, with optional near-real-time).
  • Orchestrate with Airflow (or equivalent); enforce SLAs, retries, idempotency, and alerting.
  • Establish DQ controls (profiling, constraints, dbt tests), source-to-target reconciliation, and end-to-end lineage.
  • Implement purge/retention aligned to AML and regulatory requirements.

Requirements:

  • 10+ years in engineering delivering production pipelines and distributed systems at scale; 2–4+ years leading engineers with a proven balance of hands-on and people leadership.
  • Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization.
  • Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.
  • Modeling and architecture: Strong data modeling (3NF/dimensional/data vault) and medallion architecture patterns (Bronze/Silver/Gold).
  • Data governance controls: Data quality frameworks, source-to-target reconciliation, lineage concepts and tooling, purge/retention strategies.
  • Orchestration and automation: Airflow (or equivalent) for DAGs, SLAs, retries, and observability; Git-based workflows and CI/CD for data (e.g., GitHub Actions/Jenkins).
  • Dbt proficiency: Development, testing, documentation, and deployment of transformations with dbt.
  • Cloud-native and platform: Containers, Kubernetes/OpenShift, Infrastructure-as-Code, and secure secret management; understanding of cost/performance trade-offs.
  • Ways of working: Strong ownership, and excellent problem solving and communication; incident management and postmortems.
  • Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).

Nice to have:

  • Streaming and events: Kafka/CDC for near-real-time enrichment into batch layers.
  • Observability: Metrics, tracing, and logging practices and tooling across data pipelines.
  • Security and privacy: OAuth2/OIDC, data masking/tokenization, PII handling, and regulatory awareness in financial services/AML.
  • Regulated domains: Experience in financial services or other highly regulated industries.
  • Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
  • Stakeholder management: Ability to influence and align diverse technical and non-technical partners.
  • Hadoop ecosystem exposure (as legacy integration), where applicable.

What’s in it for you?

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business and geographies

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Skills

Nice to have

  • Kafka
  • CDC
  • OAuth2
  • OIDC
  • data masking
  • tokenization
  • PII handling
  • regulatory awareness

Ready to apply?

You apply with the employer directly. Their original posting is here: https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Senior-Manager--Engineer---Build_R-0000189038-1

Apply on RBC