Snowflake03.04.2026
Data Architecture Lead
Полная занятостьUS-CA-Menlo Park
Обязанности
- 01Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt, RBAC frameworks, deployment workflows, and code quality standards
- 02Build 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
- 03Elevate 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
- 04Partner 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
- 05Represent 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
- 06Act as a strategic lever across teams — bridging data engineering and analytics engineering to drive alignment, reduce redundancy, and raise the technical bar organization-wide
- 07Enable the team through documentation, knowledge sharing, and mentorship — setting standards that scale beyond your own direct contributions
Требования
- 018+ years of experience in data engineering, analytics engineering, or data architecture roles
- 02Deep expertise in Snowflake, including advanced data modeling, performance optimization, RBAC design and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
- 03Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
- 04Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
- 05Strong 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
- 06Experience designing and implementing RBAC frameworks at scale — including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
- 07Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
- 08Ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
- 09Experience working at a technology company with a large-scale internal data platform (preferred)
- 10Prior experience building or contributing to internal developer tooling, shared libraries, or platform-as-a-product initiatives (preferred)
- 11Familiarity with Python for data pipeline development, scripting, and automation (preferred)
- 12Experience presenting technical content to external audiences (customers, conferences, etc.) (preferred)
Условия
- 01In-office requirement: must work out of Menlo Park office for a minimum of 3 days a week
- 02Accountable for supporting and enabling diversity and belonging
- 03Must follow company’s confidentiality and security standards for handling sensitive data