AI and Data - Data Architect; Snowflake

Position: AI and Data - Data Architect (Snowflake)
Overview  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.
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
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
To qualify for the role, you must have   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
Strong SQL skills
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…