We are looking for a
Data Architecture Lead to join our Data, Analytics, and AI organization. This is a senior individual contributor role with principal-level scope. You will set the technical direction for how our data and analytics engineering teams build, govern, and evolve the data platform - and you'll be a hands-on practitioner who shapes what's possible.
This role an in office requirement - you must be able to work out of our Menlo Park office for a minimum of 3 days a week. In This Role You Will- Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt, RBAC frameworks, deployment workflows, and code quality standards
- Build and deploy AI-powered tooling and skills - including agent frameworks, prompt-driven workflows, and LLM-enabled automation - for use across analytics and data engineering teams
- Elevate the RBAC framework for the data platform, including designing and implementing row access policies, column masking policies, and role-based access control patterns at scale in Snowflake
- Partner with Snowflake's product and engineering teams on feature testing and feedback - write meaningful product specifications, develop proof-of-concepts, and help push the Snowflake platform forward
- Represent Snowflake's internal data capabilities externally, meeting with customers to demonstrate what is possible on the platform and sharing real-world architectural patterns and learnings
- Act as a strategic lever across teams - bridging data engineering and analytics engineering to drive alignment, reduce redundancy, and raise the technical bar organization-wide
- Enable the team through documentation, knowledge sharing, and mentorship - setting standards that scale beyond your own direct contributions
What You Will NeedRequired- 8+ years of experience in data engineering, analytics engineering, or data architecture roles
- Deep expertise in Snowflake, including advanced data modeling, performance optimization, RBAC design and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
- Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
- Hands-on experience with Airflow or similar orchestration platforms for data pipeline 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
- Experience designing and implementing RBAC frameworks at scale - including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
- Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
- Ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
Preferred- 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.)
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
