Snowflake Data Engineer

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what’s possible.

 

At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands – Coach, Kate Spade New York, Stuart Weitzman – was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We’re always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.

A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity. 

 

Primary Purpose: The ideal candidate is an experienced Data Engineer with a strong background in Snowflake, SQL, and cloud-based data solutions. They are a self-motivated, independent problem-solver who is eager to learn new skills and adapt to changing technologies. Collaboration, performance optimization, and a commitment to maintaining data security and compliance are critical for success in this role.

 

The successful individual will leverage their proficiency in Data Engineering to...

 

• Develop and manage data models, pipelines, and transformations.
• Demonstrate proficiency in SQL and BASH scripting.
• Leverage 5+ years of experience in data engineering or related roles.

• Collaborate with Data Engineering, Product Engineering, and Product Management teams to align with the product roadmap.
• Effectively document and communicate technical solutions to diverse audiences.
• Demonstrate a strong ability to work independently, take ownership of tasks and drive them to completion.

• Show a proactive approach to learning new technologies, tools and skills as needed.

 

The accomplished individual will...

 

• Design, implement, and manage Snowflake Data Warehouse solutions.
• Be proficient in creating and optimizing Snowflake schema design.
• Optimize Snowflake schema designs for performance and scalability.
• Utilize Snowflake features such as data sharing, cloning and time travel.
• Analyze and optimize Snowflake compute resources (e.g. virtual warehouses).
• Optimize queries, indexes and storage for improved performance.
• Maintain data security and ensure compliance with regulations. Knowledge with SOC 2 compliance standards (preferred).
• Integrate Snowflake with AWS services, including S3 and Glue (preferred).

 

An outstanding professional will have...

 

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Snowflake certification (preferred).
• AWS certification (preferred).
• Experience with Agile methodologies and modern software development lifecycle.
• Familiarity with Python and/or Java for Snowflake-related automation (preferred).
• Familiarity with Node.js for API development (preferred).

 

Our Competencies for All Employees

• Courage: Doesn’t hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
• Creativity: Comes up with a lot of new and unique ideas; easily makes connections among pr