Principal Architect (Data Foundations)

Join our Data, Analytics, and AI organization as a Principal Architect, Data Foundations. In this senior individual contributor role, you will set the technical direction for our data and analytics engineering teams, define and deploy architectural standards, build and deploy AI-powered tooling, elevate the RBAC framework, partner with Snowflake's product and engineering teams, represent Snowflake's internal data capabilities externally, act as a strategic lever across teams, and enable the team through documentation, knowledge sharing, and mentorship.

• Definir e implementar padrões arquitetônicos para equipes de engenharia de dados e análise, abrangendo padrões de modelagem de dados, frameworks de controle de acesso e padrões de qualidade de código.
• Construir e implantar ferramentas e habilidades impulsionadas por IA para uso em equipes de análise e engenharia de dados.
• Colaborar com as equipes de produto e engenharia da Snowflake em testes de recursos e feedback, escrevendo especificações de produtos significativas e desenvolvendo provas de conceito.
• Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
• Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent frameworks (e.g., Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
• Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
• Experience designing and implementing RBAC frameworks at scale — including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
• Deep expertise in Snowflake, including advanced data modeling, performance optimization, RBAC design and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
• Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
• 8+ years of experience in data engineering, analytics engineering, or data architecture roles
• Ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
• Experience working at a technology company with a large-scale internal data platform
• Prior experience building or contributing to internal developer tooling, shared libraries, or platform-as-a-product initiatives
• Familiarity with Python for data pipeline development, scripting, and automation
• Experience presenting technical content to external audiences (customers, conferences, etc.)