Where Data Does More. Join the Snowflake team.
We are looking for a Senior Analytics Engineer to join our data team. In this role, you will design, develop, and maintain the data infrastructure that powers business intelligence, strategic analysis, and AI workloads across the company.
IN THIS ROLE, YOU WILL: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
Develop Snowflake semantic models that can be leveraged by Cortex Analyst and power AI experience for data
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 systems, and data definitions
Build and maintain user friendly documentation for data models and key metrics
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team
5+ years of experience working as an analytics, data, or BI engineer
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
Experience using Python to parse, structure, and transform data
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
Ability to think creatively to solve problems
Passion for detail and quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement
Willingness to work flexible international hours as needed
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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What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data.
We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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