Senior Data Analytics Engineer

Based in Menlo Park, California, this onsite role at Snowflake centers on owning and evolving the company's internal data platform. The Senior Data Analytics Engineer shapes architecture, governance, and data workflows while advancing AI-enabled data engineering and dbt at scale. The position carries a salary range of USD 230,000 - 258,750 per year.

Responsibilities

• Define the architecture and design principles for Snowflake's internal data platform, taking ownership of data flows, governance, and access across Finance, Sales, HR, and other essential functions.
• Lead cross-functional data programs from problem framing through delivery, coordinating Engineering, Analytics, and Business Systems stakeholders on scope and rationale.
• Develop and enforce scalable RBAC structures, row-level access policies, and data masking to ensure appropriate data access with governance controls.
• Promote AI-enabled data workflows by integrating LLM-powered tools, Cortex Agents, and automation into the data engineering practice.
• Establish scalable dbt standards, including modeling conventions, testing frameworks, and CI/CD practices for the entire data team.
• Influence multiple teams through architecture documentation, technical specifications, and stakeholder-oriented materials to align efforts and accelerate delivery.
• Identify and mitigate systemic data quality, performance, and reliability challenges, elevating the definition of done for the platform.

Requirements

• 8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience.
• Deep expertise with Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks).
• 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 LLM-powered workflows, agent frameworks (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 producing clear technical specs, architecture documents, and stakeholder-facing materials.
• Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams.

Technologies

• Snowflake
• Cortex Agents
• Claude Code
• Cortex Code
• dbt Core
• dbt Platform
• Dynamic Tables
• Streams
• Tasks
• Python
• Snowflake Cortex AI
• GenAI-native data tooling
• LLM-powered workflows

Benefits

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending account and health savings account options
• At least 12 paid holidays
• Paid time off
• Parental leave
• Employee assistance program
• Other company benefits
• Bonus and equity plan eligibility

Preferred Skills

• Experience at a technology company operating a large-scale internal data platform
• Familiarity with Python for data pipeline development, scripting, and automation
• Experience presenting technical content to external audiences (customers, conferences)
• Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments