Staff Data Platform Engineer - Snowflake

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

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

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

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

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

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)

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

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.

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.

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.

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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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