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Added 1 day ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation…
Added 1 day ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 2 days ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern…
Added 2 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Added 3 days ago
L
Full Stack Engineer, Agentic AI
Lazer
Remote, Canada
- Contract
- Remote
Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc.
Added 4 days ago
T
Senior Consultant, ML/AI Engineer, Data & AI
Toast
Vancouver, BC
- $77,000 to $102,000 USD / year
- Full-time
…presence and thousands of professionals across the country, for a Senior Consultant, ML/AI Engineer to join its Data & AI practice in Vancouver. The firm helps some of Canada’s largest…
Added 4 days ago
PG
AWS SageMaker Engineer
Pacer Group
Toronto, ON
- $50 to $53 CAD / hour
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 4 days ago
Q-
MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
Added 5 days ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Certifications across more than one vendor, for example Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks Data Engineer Professional, or SnowPro Advanced.
Added 8 days ago
SL
Senior Operational Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Toronto, ON · North York, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Toronto, ON · North York, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 8 days ago
S
Senior Operational Engineer
Sunlife
Waterloo, ON
- Full-time
Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery,…
Added 9 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Added 10 days ago
Principal AI Architect
Robots and Pencils
Canada
…cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice…
Added 11 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Experience with modern data technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt or comparable technologies.
Added 11 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Experience with modern data platforms and technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt, or comparable technologies.
Added 12 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · Java · SQL · PySpark · AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3) · Kubernetes · Docker · Snowflake · SnowPark ·…
Added 12 days ago
UC
AI/Full Stack Developer
UniSysTech Consulting
Toronto, ON
- Other
Can develop applications with AWS Serverless including, Compute (e.g., lambda, Fargate), Network (e.g., VPC essentials), Security (e.g., IAM), Storage (e.g., S3), IaC (e.g., AWS CDK),…
Added 15 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Added 15 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
AWS: Hands-on experience required; SageMaker experience is a strong asset.
Added 16 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
We are currently searching for a Senior Software Engineer to collaborate with our exceptional, growing team of business and AI specialists at Yeji Data Lab. The ideal candidate should…
Added 16 days ago
RA
Senior Software Engineer – Python & AWS (100% Remote)
Recrute Action
ON · North York, Toronto, Kitchener, Ontario
- Contract
Senior Software Engineer – Python & AWS (Remote)
Added 16 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Toronto, ON
- Full-time
Pour mener à bien ces missions, vous utiliserez un large éventail d'outils informatiques, incluant les services AWS (tels qu'Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git et…
Added 16 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
Pour mener à bien ces missions, vous utiliserez un large éventail d'outils informatiques, incluant les services AWS (tels qu'Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git et…

RBC

Senior Manager, Engineer & Build

Toronto, ON, Canada

Full-time

This date has passed. Check with the employer before applying.

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Job details

Job type: Full-time
Listed closing date: Oct 31, 2026
Posting language: English
Posted: Oct 15, 2026

Original job description

Job Description

What is the opportunity?

Are you a hands-on data engineering leader who thrives on building high-performing teams and high-scale data platforms? Come join us!

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.

What will you do?

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.

What do you need to succeed?

Must-have:

Experience depth: 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?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

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

#TECHPJ

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-25

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

Lead and mentor a high-performing engineering team while contributing hands-on to the design and delivery of cloud-native data systems. Oversee the development of batch and incremental pipelines using Snowflake, Spark, and dbt while ensuring reliability, scalability, and data governance.

Requirements

Requires 10+ years of experience in engineering production pipelines and distributed systems, with 2-4 years of leadership experience. Must possess deep expertise in Snowflake, Spark, data modeling, and cloud-native infrastructure.

Skills

Data engineering
Snowflake
Spark
Dbt
Airflow
Kubernetes
OpenShift
Python
Scala
Java
Data modeling
CI/CD
Cloud architecture
Data governance
Leadership
Distributed systems

Benefits

Comprehensive Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Stock options
World-class training program
Flexible work/life balance options

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Spark
Dbt
Airflow
Kubernetes
OpenShift
Python
Scala
Java
AWS
Cloud-native
CI/CD
Data Governance
Medallion Architecture
Data Modeling
Infrastructure-as-Code
Anti-Money Laundering
Financial Services
Distributed Systems
SCD/CDC
Performance Tuning
Observability
Data Quality
Lineage
Git
Jenkins
GitHub Actions
Kafka
PII

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