Snowflake Computing

Senior Analytics Engineer

Snowflake Computing$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in analytics, data, or BI engineering
  • Advanced SQL skills for large-scale relational datasets
  • Proficient in Python for data parsing and transformation
  • Experience with MPP databases like Snowflake, Redshift, or BigQuery
  • Strong communication skills across diverse stakeholders
  • Ability to manage tasks in a fast-paced environment
  • Creative problem-solving skills
  • Attention to detail and commitment to quality

Responsibilities

  • Build and maintain data infrastructure using SQL, Python, Snowflake, and dbt
  • Develop semantic models in Snowflake for AI-driven insights
  • Conduct data QA and automate testing for data models
  • Translate business needs into data model specifications
  • Collaborate with IT to source data from key systems
  • Design flexible data models supporting various use cases
  • Contribute to data governance strategies and frameworks
  • Document data models and key metrics for users
  • Identify and implement process and system improvements

Benefits

  • Growth opportunities in a rapidly expanding company
  • Supportive team culture that values innovation
  • Flexible work hours to accommodate international collaboration
  • Focus on data confidentiality and security in all operations
Full Job Description
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

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

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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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