AI and Data - Manager - Solution Architect

AI and Data - Data Architect (Snowflake)

Location:

Toronto

Other locations:
Primary Location Only

Date:
Jul 26, 2025

Requisition

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The Opportunity

We are seeking Snowflake Data Architects for our AI & Data practice team. We are looking for a candidate with strong technical leadership and experience to translate and deliver business needs into secure scalable solutions and architectures for the Snowflake data platform.

• Snowflake
  :
  • Lead solution architecture for Snowflake-based projects
  • Design or review logical and physical data models to support analytics, AML, reporting, and AI use cases
  • Design data storage layers (e.g., raw, curated, consumption)
  • Define security architecture (e.g., roles, RBAC, masking, row access policies)
  • Develop cost monitoring/telemetry/governance (e.g., warehouse sizing, auto suspend, usage monitoring)
  • Produce architecture artifacts (e.g., diagrams, standards)
  • Lead technical reviews
  • Enforce standards (e.g., reference architecture) across teams
• Core
  :
  • Lead and facilitate data architecture assessments, workshops, and strategy sessions with clients to understand business goals, challenges, and opportunities
  • Define and develop enterprise data strategies, roadmaps, and architectures aligned with clients' business objectives, regulatory requirements, and industry best practices
  • Design and architect scalable and extensible end-to-end data management solutions encompassing:
    • data warehouses and data lakes, to support business analytics, reporting, and machine learning use cases
    • target state and reference architectures
    • conceptual, logical, and physical data models and graph data modeling to represent business entities, relationships, and processes
    • data integration patterns for batch/streaming pipelines
    • master data management
    • data governance
  • Develop and maintain data standards, guidelines, and best practices for data management and governance
  • Collaborate with business stakeholders, data scientists, and data engineers to define data requirements, source data integration strategies, and data quality standards
  • Evaluate and recommend data technologies, platforms, and tools, such as cloud data services and data management solutions to meet client needs and requirements
  • Provide technical leadership and guidance to project teams, including data architects, data engineers, and developers, to ensure alignment with architectural principles, design patterns, and best practices
  • Conduct data architecture reviews, assessments, and audits to assess compliance with architectural standards, identify gaps, and recommend remediation actions
  • Develop and deliver client presentations, executive briefings, and thought leadership content on data architecture trends, technologies, and best practices
  • Mentor junior team members, provide coaching and support, and contribute to the professional development and growth of data architect capabilities within the practice
  • Build valuable relationships both within EY and with clients

• Bachelor’s degree in computer science, mathematics, data science, informatics, engineering, or a related field
• 8+ years in data architecture or data engineering roles
• 3+ years designing and developing on Snowflake
• Snowflake Snow Pro Core Certification
• Broad and deep demonstrated knowledge of Snowflake features
• Demonstrated experience with cloud platforms (AWS, Azure, GCP)
• Strong background in analytical data modeling including dimensional and Data Vault methodologies
• Proven experience delivering end-to-end enterprise data and solution architectures including data warehouses and data lakes to support analytics and machine learning
• Demonstrated experience architecting scalable data pipelines across batch and streaming patterns
• Demonstrated experience integrating data management capabilities including MDM, metadata, and data quality
• Demonstrated…