Job DescriptionWhat is the Opportunity?We are seeking a Senior Data Architect to design enterprise-wide data architectures and data products enabling analytics, regulatory reporting, and operational excellence across Royal Bank of Canada. You will architect cloud and on-premises data platforms primarily on Snowflake, establish architecture standards including AI & ML, lead data product development, and provide technical leadership on mission-critical initiatives in a highly regulated banking environment. This role offers deep technical influence across the enterprise, with a focus on architecting the data infrastructure and data products that power RBC's data-driven transformation.
What will you do?Strategic Architecture & Platform Design- Design enterprise data architectures on Snowflake and cloud data platforms that are scalable, secure, and aligned with enterprise standards.
- Define data architecture standards, best practices, design patterns, and establish governance frameworks across the organization.
- Evaluate emerging data technologies and provide recommendations for adoption.
Data Architecture & Design- Design enterprise data warehouses, data lakes, cloud analytics platforms, and integrated data solutions on Snowflake.
- Define data modeling strategies, logical and physical designs, and schema optimization approaches.
- Design advanced Snowflake features including clustering strategies, data sharing, security models (RBAC, dynamic masking), and cost optimization.
- Architect end-to-end data pipelines using modern integration platforms and cloud-native services.
Data Integration & Governance- Architect scalable, secure, and high-performance data integration solutions using modern ETL/ELT platforms.
- Design comprehensive data governance frameworks, policies, and controls.
Data Products Architecture & Development- Design and architect data products that deliver business value to internal and external stakeholders.
- Define data product strategies, requirements, and metrics success in collaboration with product and business teams.
- Architect data product pipelines, including ingestion, transformation, serving layers, and APIs.
- Establish data product governance frameworks, versioning, and lifecycle management practices.
AI/ML & Advanced Analytics Support- Architect data platforms that support machine learning pipelines and advanced analytics.
- Design solutions integrating Snowflake with AI/ML tools (Snowpark, Python, Spark) for model development and feature engineering.
- Support the development and deployment of predictive models and real-time analytics solutions.
Cloud & Technical Leadership- Architect solutions on Snowflake and cloud data platforms aligned with enterprise strategy.
- Provide technical guidance, mentorship, and code reviews to the team.
- Communicate architectural decisions and trade-offs to senior leadership and stakeholders.
What do you need to succeed?Must have:- Bachelor's Degree or equivalent experience.
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- 6+ years designing enterprise data architectures across multiple domains.
- 6+ years with data warehouses, data lakes, and analytics platforms.
- 6+ years with data modeling and relational/NoSQL database design.
- 6+ years designing and optimizing ETL/ELT and data integration solutions.
- 5+ years of hands-on experience with Snowflake or other similar cloud data platforms.
- 3+ years of experience designing, architecting, or building data products.
- Strong understanding of data governance frameworks, data quality methodologies, and metadata management.
- Experience in highly regulated industries (banking, financial services) with compliance requirements.
- Proven ability to design scalable, secure, and high-performance data solutions.
- Excellent communication skills with ability to translate complex technical concepts for business leadership.
- Agile, CI/CD, and DevOps experience; strong SQL optimization skills.
- Strong analytical and problem-solving skills with attention to detail.
Nice to have:- Snowflake or cloud data platform certifications.
- Experience with Informatica IICS, IDMC, MDM platforms, data governance tools (Collibra, Alation), or data quality platforms (Informatica IDQ/CDQ).
- Experience with event-driven architectures, API design, domain-driven design (DDD), or data mesh patterns.
- Containerization, streaming frameworks (Kafka, Spark), or data lakehouse architectures.
What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team.
- A world-class training program in financial services.
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Job SkillsArchitectural Modeling, Critical Thinking, Data Architecture Development, Data Warehousing (DW), Enterprise IT Architecture, ETL Processing, Information Technology Consulting, Logical Data Modeling, Multi-Level Communication, Physical Database Design
Additional Job DetailsAddress:180 WELLINGTON ST 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:2026-07-14
Application Deadline:2026-08-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
