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Added 4 days ago
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
$132,000 to $165,000 CAD / year
Full-time · Remote
Senior Full-stack Engineer (Agentic Experience)
Added 4 days ago
AI Full Stack Developer
Synechron
Halifax, NS
$120,000 to $125,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 4 days ago
AI FullStack Engineer
Synechron
Toronto, ON
$100,000 to $107,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern AI-…
Added 5 days ago
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
Full-time
Familiarity with front-end or full-stack technologies is a plus
Added 5 days ago
Senior Data Engineer – Microsoft Fabric
Iteration Insights
Calgary, AB · Greater Calgary Metropolitan Area
Full-time
We're looking for a Senior Data Engineer to help our clients build modern data platforms, pipelines, and analytics solutions using Microsoft Fabric and the broader Azure ecosystem.
Added 5 days ago
Senior Software Engineer
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are currently recruiting for a Senior Software Engineer to support our IT – Application Development team. This role can be based out of our Toronto, London or Burlington offices.
Added 5 days ago
IT - Senior Software Engineer
Mohawk Medbuy Corporation (MMC)
Burlington, ON · London, ON · Toronto, ON
We are currently recruiting for a Senior Software Engineer to support our IT – Application Development team.
Added 6 days ago
Senior AI Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders…
Added 6 days ago
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 11 days ago
Data Engineer
Gestion Zagora
Westmount, QC
Full-time
You want to be a senior data or analytics engineer in a few years and you're looking for the place that will get you there fastest
Added 12 days ago
Java Full Stack Developer
J&M Group
Toronto, ON
Contract
We are seeking a Senior Java Engineer with 6+ years of experience in banking or financial services applications
Added 12 days ago
Senior Full Stack Engineer (React/Node/Nest)
Resonaite
Markham, ON
Contract
Our client is seeking a Principal Full Stack Engineer on a contract basis to provide technical leadership and hands-on engineering across the design and delivery of scalable APIs, modern…
Added 16 days ago
Senior Analytics Engineer
Toptal
Toronto, ON · Greater Toronto Area, Canada
$30 to $50 USD / hour
Contract
You'll operate across the full modern analytics stack, from transformation and orchestration to governance and dashboarding, with real ownership over how data quality and reliability are…
Added 29 days ago
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Toronto, ON
$140,000 to $180,000 CAD / year
Full-time
Big Viking Games is hiring a Senior DevOps Engineer, Agentic Automation & Live Games to modernize the infrastructure behind our live-service games and help reinvent how those systems are…
Added 16 days ago
Solutions Architect – Digital Identity, Telco & Data Platforms
EnStream LP
Toronto, ON
Full-time
Job Title: Solutions Architect – Digital Identity, Telco & Data Platforms
Added 16 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 19 days ago
Senior Data Engineer, GFT
RBC
Toronto, ON
Full-time
…capabilities on public cloud and on-prem infrastructure, establishing data pipelines and feature stores with integrated data quality and governance for high-quality, traceable insights, and…
Added 17 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
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…
Added 19 days ago
Sr. Java Full Stack Engineer
ITC Infotech
Vancouver, BC
Full-time
We are looking for a Senior Java Microservices Engineer (Digital Asset Management) to design, develop, and maintain scalable backend applications using Java, Spring Boot, and Kafka. The…
Added 19 days ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
…today’s digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI &…
Added 17 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 17 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 17 days ago
Senior Observability Engineer
CI Financial
Toronto, ON
Full-time
Deep hands-on expertise with Dynatrace across full-stack monitoring, Davis AI, Smartscape, RUM, synthetic monitoring, distributed tracing, Grail log monitoring, DQL, management zones,…
Added 17 days ago
Senior Product Designer, Autonomy Data & Tooling
Waabi
Toronto, ON
$100,300 to $200,000 USD / year
Full-time
We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where…
Added 9 days ago
Senior Full Stack Developer - AI & Developer Productivity
RBC
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…

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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