AI and Data - Data Architect (Snowflake)

AI and Data - Data Architect (Snowflake)

Location: Toronto

Other locations: Primary Location Only

Salary: Competitive

Date: Jul 26, 2025

Job description

Requisition ID: 1603494

At EY, youll 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 were 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.

At EY, youll 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 were 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.

Your Key Responsibilities

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

Define ingestion patterns (e.g., batch, streaming, file-based)

Design data storage layers (e.g., raw, curated, consumption)

Define security architecture (e.g., roles, RBAC, masking, row access policies)

Design data sharing (e.g., secure views, shares, inter-account patterns)

Establish data quality controls (e.g., validation rules, control totals, reconciliation)

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