Why This Job is Featured on The SaaS Jobs
This role stands out in the SaaS landscape because it sits inside an established cloud data company where the internal data platform functions as shared infrastructure for core business teams. Rather than building customer facing analytics, the remit is closer to “data product” ownership for Finance, Sales, and HR, with governance and access patterns that mirror what many SaaS firms must solve as they mature. The emphasis on Snowflake native capabilities also reflects how modern SaaS operators increasingly standardize on a single warehouse as the system of record.
For a SaaS career, the most durable value here is learning how to scale analytics foundations that multiple functions depend on, including modeling conventions, CI practices, and platform reliability. Experience with RBAC, masking, and row level access transfers directly to regulated SaaS environments where auditability and least privilege access become non negotiable. The AI workflow component adds practical exposure to how analytics teams are beginning to operationalize LLM assisted development inside governed platforms.
The position is best suited to someone who prefers principal scope work, setting standards and aligning stakeholders through written architecture and clear decision making. It will fit professionals who enjoy balancing hands on technical depth with platform stewardship, and who are motivated by enabling other teams through dependable data access rather than owning a single application surface.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for someone to help shape what's possible for the teams who rely on it every day.
Location: Menlo Park, CA | Team: Data Analytics and AI | Business Unit: Enterprise Technology
In this role you will
Shape the architecture and design principles for Snowflake's internal data platform, owning decisions that affect how data flows, is governed, and accessed across Finance, Sales, HR, and other business-critical functions
Lead cross-functional data initiatives from problem framing through delivery, aligning stakeholders across Engineering, Analytics, and Business Systems on what to build and why
Define and enforce RBAC frameworks, row access policies, and masking policies at scale, ensuring the right data reaches the right people with appropriate governance controls
Drive adoption of AI-assisted data workflows by integrating LLM-powered tools, Cortex Agents, and automation capabilities into the team's data engineering practice
Set the technical standard for dbt at scale, defining modeling conventions, testing frameworks, and CI/CD practices adopted by the full data team
Influence without authority across teams by writing architecture docs, technical specs, and stakeholder-facing materials that drive alignment and accelerate delivery
Identify and resolve systemic data quality, performance, and reliability issues, raising the bar for what "done" looks like on the platform
What you will need
8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience
Deep expertise in 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 writing 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
Preferred skills:
Experience working at a technology company with 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
WHY join our Data Analytics and AI team at Snowflake
We are the team that owns Snowflake's internal data platform, powering analytics across Finance, Sales, and HR. We're a tight-knit team who move fast and value craftsmanship over process.
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: https://careers.snowflake.com/us/en
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
