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Senior Analytics Engineer

Snowflake LogoSnowflake
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Location

Menlo Park, CA

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

What you will need:

  • 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

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