Staff Analytics Engineer - Accounting
Snowflake · US-CA-Menlo Park
About this role
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. This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week. We are looking for a Staff Analytics Engineer to join our growing Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Accounting organization and has a direct impact on Snowflake’s success as a company. As a Staff Analytics Engineer, you will be responsible for the following: - Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation - Perform data QA and develop automated testing procedures for use with Snowflake data models - Translate reporting, analysis, and automation requirements into data model requirements and specifications - Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases - Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth - Provide input into data governance strategies and frameworks including permissions and security models, data lineage
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