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.
Build AI-powered experiences for HR and Legal teams
You'll be central to how we bring AI to the People and Legal functions at Snowflake. Using Snowflake Cortex and other tools, you'll design and deliver conversational analytics experiences — skills that let HR and Legal users ask questions in natural language and get immediate, data-grounded answers. This means owning the full stack: the data layer that powers the AI, the logic that shapes what it knows, and the quality bar that makes it trustworthy.
Co-own the data foundations with Analytics Engineering
You’ll work hand-in-hand with the Analytics Engineering team to design, build, and evolve the Snowflake data layer that every AI experience depends on. That means jointly scoping data models, translating stakeholder requirements into engineering work, validating that outputs are accurate, and ensuring the right access controls are in place. The AI is only as good as the foundation beneath it — and you’ll share ownership of getting that right.
Translate stakeholder needs into working products
Partner directly with Talent Acquisition, HR Business Partners, Compensation, Legal Operations, and employment counsel to understand what questions they're trying to answer. You'll turn those conversations into structured data models, AI skill definitions, and — where needed — dashboards that give teams something they can use immediately.
Deliver actionable insights
You’ll work with People and Legal stakeholders to surface findings that actually change decisions — whether that’s flagging attrition risk in a business unit, identifying bottlenecks in the hiring funnel, or surfacing spend trends for legal leadership. The measure of success isn’t a dashboard going live, it’s a stakeholder doing something different because of what you showed them.
Maintain rigor as we scale
AI experiences break in quiet ways when the data drifts. You'll own testing, validation, and quality checks across the products you build — making sure outputs stay aligned with source systems, business definitions hold, and stakeholders can trust what they're seeing.
Contribute to access and security design
Help design and maintain the role-based access model for sensitive HR and Legal data — including secure views, row-level policies, and data sensitivity controls that ensure the right people see the right data.
3+ years of experience in analytics, data engineering, or a related field where you've owned data products end to end
Strong SQL — you write complex queries and think carefully about performance, grain, and correctness
Familiarity with the modern data stack: tools like dbt, Airflow, and Git as part of a collaborative engineering workflow
Experience working directly with non-technical stakeholders — you can translate a business question into a working data model and explain your thinking without jargon
Data quality instincts — you validate your work against source systems and don't ship without checking your numbers
Curiosity about AI and where it's going — you don't need to have shipped an LLM product, but you should be excited about building them
Hands-on experience with Snowflake Cortex, LLM-powered analytics tools, or building conversational data experiences
Familiarity with Streamlit for building lightweight internal apps and dashboards
Background in people analytics — workforce planning, attrition, compensation, or talent acquisition
Exposure to Legal Operations data — matter management, legal spend, or outside counsel analytics
Python experience for data pipelines, scripting, or automating reporting workflows
Experience designing access controls for sensitive data: PII, privileged legal information, compensation data
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
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