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Added 8 hours ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our…
Added 11 hours ago
Staff AI Software Engineer
Qualcomm
Markham, ON
Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 2 days ago
Software Engineer
Actalent
Ottawa, ON
Contract
This Software Engineer role focuses on architecting, designing, and integrating advanced AI/ML capabilities into mission-critical defense software systems within a tactical IT environment.…
Added 18 days ago
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
$241,000 to $320,000 USD / year
Full-time
Added 1 month ago
Senior Appian Developer
The Hospital for Sick Children
Toronto, ON
Full-time
The position sits within a team that includes full-stack developers, a DevOps engineer, a Business Analyst, a Product Owner, and alongside an App Support team with foundational technical…
Added 3 days ago
Senior Staff Software Engineer, Stripe Dashboard
Stripe
Toronto, ON
Full-time
As a Senior Staff Engineer on the Merchant Experience team, you'll be a technical leader across 50+ Engineers responsible for shaping the next generation of how Stripe merchants interact…
Added 7 days ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 4 days ago
Staff AI Engineer
Safe Software
Remote, Canada
$147,000 to $167,000 CAD / year
Full-time · Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 5 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Data based in Canada .
Added 6 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
AI & ML Intern - Electrical Engineer (Winter 2027)
Added 5 days ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection…
Added 6 days ago
Automation Engineer 4- #26-23046
US Tech Solutions
Markham, ON
$65 to $70 USD / hour
Contract
We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of Client’s product, you will be part of a leading…
Added 7 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
Full-time
Role SummaryProject X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing…
Added 7 days ago
Co-op or Intern, DevOps Engineer (January 2027)
BDO
Toronto, ON · Oakville, ON · Halifax, NS
Full-time
BDO Digital is looking for a Co-op or Intern, DevOps Engineer to join the AppDev team from January - April 2027. This is a net new role and responsibilities will include:
Added 7 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 6 days ago
Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Bevertec
Toronto, ON
Contract
Job Role: Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Added 12 days ago
Director of Engineering – Toronto Development Center
Mercury Insurance
Toronto, ON · Greater Toronto Area, Canada
Contract
Hire, develop, and retain top engineering and quality talent in Toronto, including managers and technical leaders (e.g., Staff/Principal Engineers, DevOps, SRE, Staff QE).
Added 12 days ago
Staff Software Engineer
kadence
Toronto, ON
Full-time
They’re looking for a Staff Software Engineer, AI to provide hands-on technical leadership across the design, development, and scaling of enterprise-grade AI systems. This is a senior…
Added 1 month ago
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 16 days ago
Staff Software Engineer
Greybridge Search & Selection
Toronto, ON
$140,000 to $175,000 CAD / year
Full-time
Staff Software Engineer - Agentic AI - Toronto $140,000 - $175,000 + 15% bonus (3 x days per week)
Added 5 months ago
Staff AI Platform Engineer - Inference & Agentic Systems
Paytm
Toronto, ON
Full-time
As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will
Added 12 days ago
Staff AI Architect/Engineer
RBC
Toronto, ON
Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 17 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.

RBC

Staff Data Platform Engineer - Snowflake

Toronto, ON, Canada

Job type: Full-time
Apply by: 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

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.

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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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