Job DescriptionWhat 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 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 EnablementDesign, develop, and maintain the Snowflake Control PlaneEnable Snowflake new features with appropriate governance controls, access policies, and compliance guardrailsCollaborate with Model Risk and Compliance teams on AI governance frameworks and responsible AI adoptionSecurity & ComplianceImplement and maintain security controls — OAuth/SSO integrations, JWT validation, secret management (HashiCorp Vault, Azure Key Vault), and credential lifecycle automationEnforce platform security posture including rate limiting, input sanitization, and security headersDrive compliance with enterprise security standards and OSFI guidelines, particularly for AI/ML workloadsDeveloper Experience & OperationsBuild self-service workflows and automation for user onboarding, resource provisioning, and platform managementOperate and improve CI/CD pipelines with progressive deployment, security scanning (SAST, SCA, DAST), and code quality gatesCreate technical documentation and contribute to platform observability and monitoringTechnical LeadershipLead architectural decisions and present trade-offs to technical leadershipMentor junior engineers and co-op students on platform engineering and security best practicesParticipate actively in agile ceremonies, PI planning, and sprint demosWhat do you need to succeed?Must-HaveTechnical SkillsPython (Expert): Deep proficiency in Python 3.11+, FastAPI, Pydantic v2, async/await patterns, and building production-grade APIsSnowflake: 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 deliverySecurity Engineering: Deep understanding of OAuth 2.0 / OIDC, JWT validation, RBAC design, secret management, and enterprise security patterns. Experience implementing security controls in production systemsAI/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 deploymentsCI/CD & DevOps: Experience with GitHub Actions (or similar), container-based deployments (Docker, OpenShift/Kubernetes), progressive delivery strategies, and security scanning (SAST, SCA, DAST)Core CompetenciesSystems 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 platformSecurity Mindset: Instinctive focus on least-privilege access, defense-in-depth, audit trails, and complianceTechnical Leadership: Proven ability to drive architectural decisions, influence without authority, and articulate technical strategy to both engineering peers and business stakeholdersCommunication: Excellent written and verbal skills — you'll be presenting to various internal key decision-making teams, writing governance documentation, and mentoring engineersOwnership & Accountability: Self-driven with a track record of delivering complex, cross-cutting initiatives from design through productionEducation & ExperienceBachelor's degree in Computer Science, Engineering, or equivalent practical experience7+ years of experience in platform engineering, data engineering, cloud engineering, or SRE roles3+ years working with Snowflake or comparable enterprise data platforms at scaleExperience operating in regulated environments (financial services, healthcare, or government)Nice-to-HaveSnowflake Cortex AI: Hands-on experience with Cortex Analyst, Cortex Search, Cortex AgentsSnowPro Certifications: SnowPro Core, Advanced: Architect, or Advanced: Data EngineerTemporal / Workflow Orchestration: Experience with Temporal, Airflow, Step Functions, or similar durable workflow enginesObservability: Hands-on with Dynatrace, Datadog, Prometheus/Grafana, or ELK Stack for APM and platform monitoringInfrastructure as Code: Terraform, CloudFormation, or similar, for cloud resource managementAPI 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 frameworksLLM/GenAI Security: Knowledge of prompt injection risks, data leakage prevention,



and AI-specific threat modelsWhat'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 comprehensiveTotal Rewards Program including bonuses and flexible advantages, competitive compensation, commissions, and stock options where applicable; Leaders who support your development through coaching and managing opportunities; Ability to makea difference and lasting impact from a local-to-global scale.About RBC BorealisRBC 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 EmploymentRBC 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. Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.Our Employment OpportunitiesAt 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.Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:TECHNOLOGY AND OPERATIONSJob Type:RegularPay Type:SalariedPosted Date:2026-05-05Application Deadline:2026-08-31 #J-18808-Ljbffr

📌 Staff Data Platform Engineer - Snowflake (Toronto)
🏢 RBC
📍 Toronto