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Added 1 month ago
PL
Senior Marketing Automation Engineer
Portage Labs
Toronto, ON
- Full-time
We're looking for a full-time marketing technologist who is equally at home with people and platforms, someone ready to own client relationships, lead marketing automation strategy, and…
Added 1 month ago
I
AI Engineer
Insight
Remote, Canada
- Full-time
- Remote
6+ years of professional software development, including 2+ years in a senior/lead role.
Added 1 month ago
T
Founding Engineer, AI Agents
Tyce
Toronto, ON
- Full-time
Comfortable full-stack enough to ship your own features end-to-end.
Added 2 months ago
BC
Sr. Full Stack Software Engineer
Blackpoint Cyber
Remote, Canada
- $131,400 to $175,200 CAD / year
- Full-time
- Remote
The Product Engineering team is growing a small tiger team and is seeking an experienced Senior Full Stack Software Engineer who thrives in a fast-paced, remote environment. In this role,…
Added 1 month ago
B&
Expert Senior Manager, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Expert Senior Manager / Associate Partner AI Engineer will architect, build, and scale next-generation generative AI systems and agentic solutions for Bain’s clients. As a leader in the…
Added 1 month ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
We are Looking for a Intermediate Full stack Developer to join an established technology team.
Added 2 months ago
A
Senior Mechanical Design Engineer - Engineered Arts
AppDirect
Montreal, QC
- Full-time
Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education, and communication. With over 20 years of hardware and software development…
Added 2 months ago
E
Junior Network Engineer (Remote)
Ennismore
Remote, Canada
- Full-time
- Remote
…seeking an enthusiastic and motivated Junior Data Center Network Engineer to join our Data Center Operations team, supporting a client engagement covering the Americas region.This is a…
Added 2 months ago
SE
Senior DevOps Engineer
Samsung Electronics
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
We are looking for a Senior DevOps Engineer to join our Vancouver team.
Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
Hybrid, 3 days per week in office · This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 3 months ago
BV
Senior Full Stack Engineer, AI
Big Viking Games
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 2 months ago
EL
Solutions Architect – Digital Identity, Telco & Data Platforms
EnStream LP
Toronto, ON
- Full-time
Maintain sufficient hands-on familiarity with the codebase and technology stack to understand implementation constraints and make practical architectural decisions
Added 2 months ago
ES
Senior DevOps Engineer (Azure)
EPAM Systems
Toronto, ON
- Full-time
3+ years of technical experience in development, operations, or full-stack implementations with proven DevOps expertise
Added 2 months ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
…someone to simply complete tickets. We are looking for a future senior engineer - someone who wants to learn how enterprise data platforms are built, operated, and scaled, and who is…
Added 2 months ago
I
Full Stack Engineer
IcePanel
Vancouver, BC
- Full-time
Permanent | Full-time | North Vancouver, Canada | Hybrid (3 days in office, 2 remote) · - 3 days in office (Tues-Thurs)
Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
We are a hybrid team - you'll be in the office 3 days per week
Added 2 months ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
Katalyst Data Management is seeking a Senior AI/ML Engineer to serve as a technical lead for segments of our AI innovation platform. This is a hands-on, high-impact role where you will own…
Added 2 months ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Senior AI/ML Engineer to help design, build, and operate the infrastructure that powers our next…
Added 2 months ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
Build & Ship End-to-End Features: Design, develop, and maintain full stack features - from RESTful APIs and backend services to responsive, user-friendly frontend components - using…
Added 2 months ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
…and error rates are the value proposition. We are hiring a senior backend engineer to own performance as a production engineering discipline: profiling live systems, shipping fixes to…
Added 2 months ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
…cross-operator analytics that feed our BI, analytics, and ML. As our Senior Data Engineer, you will design our lakehouse from the first table onward, then build and operate the pipelines…
Added 2 months ago
AG
Integration & Reliability Engineer / Ingénieur(e) en intégration et fiabilité
Aduna Global
Montreal, QC
- Full-time
We’re looking for an engineer who thrives at the intersection of integration, reliability, and customer success. You’ll work directly with major global partners - from telecom suppliers to…
Added 3 months ago
C
Senior Java Developer, Applications Development – Assistant Vice President
Citi
Mississauga, ON
- Full-time
Citi is looking for a Senior Java Developer to join its Applications Development team, where you will design, build, and own high-performance Java applications that underpin critical…
Added 2 months ago
SE
Senior DevOps Engineer
Samsung Electronics
Vancouver, BC
- Full-time
We are looking for a Senior DevOps Engineer to join our Vancouver team.
Added 2 months ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
Sr. Full Stack Engineer is responsible for developing and maintaining the digital wealth management platform. This role involves building enterprise APIs and database solutions as well as…

Closed listing

RBC

Staff Data Platform Engineer - Snowflake

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Sep 30, 2026
Experience: 7+ years of experience in platform engineering, data engineering, cloud engineering, or SRE roles
Posting language: English
Posted: Sep 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description

What is the opportunity?

Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's largest enterprise data platforms. Our team empowers thousands of Data Scientists, Analysts, and business users across RBC with self-serve analytics capabilities built on Snowflake, delivered through a multi-cloud architecture spanning AWS and Azure.

You'll work on our in-house Snowflake Control Plane - a Python-based platform that automates provisioning, enforces RBAC, manages disaster recovery, and governs how the enterprise interacts with Snowflake. A key focus of this role is enabling Snowflake's AI capabilities (Cortex AI) in a secure, governed, and compliant manner.

Our team is a vibrant collective of knowledgeable experts committed to staying at the forefront of technology. We thrive on collaboration, with a flat team structure where hierarchy takes a backseat to innovation. Every voice is heard, and every idea matters. Senior members serve as mentors, fostering an environment where engineers can grow and excel.

What will you do?

Platform Engineering & AI Enablement

Design, develop, and maintain the Snowflake Control Plane
Enable Snowflake new features with appropriate governance controls, access policies, and compliance guardrails
Collaborate with Model Risk and Compliance teams on AI governance frameworks and responsible AI adoption

Security & Compliance

Implement and maintain security controls - OAuth/SSO integrations, JWT validation, secret management (HashiCorp Vault, Azure Key Vault), and credential lifecycle automation
Enforce platform security posture including rate limiting, input sanitization, and security headers
Drive compliance with enterprise security standards and OSFI guidelines, particularly for AI/ML workloads

Developer Experience & Operations

Build self-service workflows and automation for user onboarding, resource provisioning, and platform management
Operate and improve CI/CD pipelines with progressive deployment, security scanning (SAST, SCA, DAST), and code quality gates
Create technical documentation and contribute to platform observability and monitoring

Technical Leadership

Lead architectural decisions and present trade-offs to technical leadership
Mentor junior engineers and co-op students on platform engineering and security best practices
Participate actively in agile ceremonies, PI planning, and sprint demos

What do you need to succeed?

Must-Have

Technical Skills

Python (Expert): Deep proficiency in Python 3.11+, FastAPI, Pydantic v2, async/await patterns, and building production-grade APIs
Snowflake: Strong working knowledge of Snowflake architecture - roles, databases, schemas, warehouses, stages, storage integrations, failover groups, replication, and AI Suite. Experience with Snowflake security (OAuth, key pair auth, network policies)
Cloud Platforms: Hands-on experience with AWS and Azure - IAM, networking, storage, secret management (Vault, AKV), and multi-cloud service delivery
Security Engineering: Deep understanding of OAuth 2.0 / OIDC, JWT validation, RBAC design, secret management, and enterprise security patterns. Experience implementing security controls in production systems
AI/ML Governance: Understanding of responsible AI principles, model risk management, AI auditing requirements, and regulatory frameworks (OSFI, NIST AI RMF) as they apply to enterprise AI deployments
CI/CD & DevOps: Experience with GitHub Actions (or similar), container-based deployments (Docker, OpenShift/Kubernetes), progressive delivery strategies, and security scanning (SAST, SCA, DAST)

Core Competencies

Systems Thinking: Ability to reason about distributed systems, connection pooling, failover strategies, and the end-to-end implications of enabling AI features on an enterprise data platform
Security Mindset: Instinctive focus on least-privilege access, defense-in-depth, audit trails, and compliance
Technical Leadership: Proven ability to drive architectural decisions, influence without authority, and articulate technical strategy to both engineering peers and business stakeholders
Communication: Excellent written and verbal skills - you'll be presenting to various internal key decision-making teams, writing governance documentation, and mentoring engineers
Ownership & Accountability: Self-driven with a track record of delivering complex, cross-cutting initiatives from design through production

Education & Experience

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
7+ years of experience in platform engineering, data engineering, cloud engineering, or SRE roles
3+ years working with Snowflake or comparable enterprise data platforms at scale
Experience operating in regulated environments (financial services, healthcare, or government)

Nice-to-Have

Snowflake Cortex AI: Hands-on experience with Cortex Analyst, Cortex Search, Cortex Agents
SnowPro Certifications: SnowPro Core, Advanced: Architect, or Advanced: Data Engineer
Temporal / Workflow Orchestration: Experience with Temporal, Airflow, Step Functions, or similar durable workflow engines
Observability: Hands-on with Dynatrace, Datadog, Prometheus/Grafana, or ELK Stack for APM and platform monitoring
Infrastructure as Code: Terraform, CloudFormation, or similar, for cloud resource management
API Design: Experience designing and evolving large API surfaces (RESTful, OpenAPI/Swagger)
Financial Services: Understanding of Canadian regulatory landscape (OSFI B-13, PIPEDA) and enterprise risk frameworks
LLM/GenAI Security: Knowledge of prompt injection risks, data leakage prevention, and AI-specific threat models

What's in it for you?

Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#TECHPJ

#Ll-POST

Job Skills

Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-05-05

Application Deadline:

2026-09-30

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.

About employer

More about this job

Responsibilities

Design, build, and maintain the Snowflake Control Plane while enabling secure AI capabilities across the enterprise. Collaborate with compliance teams to enforce governance frameworks and provide technical leadership for platform engineering initiatives.

Requirements

Requires 7+ years of experience in platform or data engineering with deep proficiency in Python and Snowflake architecture. Candidates must have a strong background in cloud security, CI/CD pipelines, and regulatory compliance within financial services.

Skills

Python
Snowflake
AWS
Azure
OAuth 2.0
RBAC
CI/CD
Docker
Kubernetes
Security Engineering
AI Governance
FastAPI
HashiCorp Vault
Platform Engineering
Data Engineering
Systems Thinking

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Python
AWS
Azure
FastAPI
Pydantic
OAuth
JWT
HashiCorp Vault
Azure Key Vault
RBAC
CI/CD
GitHub Actions
Docker
OpenShift
Kubernetes
SAST
SCA
DAST
OSFI
NIST AI RMF
Cortex AI
Platform Engineering
Data Engineering
SRE
SnowPro
Terraform
RESTful APIs
Financial Services
GenAI

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Work requirements

Jobs in Canada