Description:

Imprint is building a payments and loyalty platform to serve modern brands and their customers.
The Data Analytics team is responsible for developing and maintaining Imprint’s data infrastructure, including data warehouses and pipelines.
The team ensures data quality and performance, enabling accessible, high-quality data for insights into customer behavior and market trends.
Daily responsibilities include creating and maintaining data pipelines, supporting data modeling, ensuring data quality, optimizing data storage, and collaborating across teams.

Requirements:

Candidates must have 4+ years of experience in data architecture, data pipeline, data warehouse modeling, and master data management.
A Master’s degree in Computer Science, Engineering, Mathematics, Analytics, or a related field is a bonus.
Experience in scaling and optimizing schemas, data warehouse modeling in dbt, performance tuning SQL in Snowflake, and data pipeline management in Airflow is required.
Familiarity with AWS cloud platforms, managing code changes in Github, managing data infrastructure in Terraform, and understanding CI/CD concepts is necessary.
Advanced knowledge and extensive experience in SQL is essential.
Candidates should have experience designing, developing, and maintaining large-scale data marts for insights.
Excellent written and verbal communication skills and the ability to collaborate with technical and business teams are required.

Competitive compensation and equity packages are offered.
Employees can choose leading configured work computers.
An unlimited vacation policy is in place.
High-quality healthcare is fully covered, including dependent coverage.
Additional health coverage includes access to One Medical and the option to enroll in an FSA.
The company provides 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents.
There is an understanding that successful remote work requires flexibility and appreciation for asynchronous work.
Employees have access to industry-leading technology across all business units to foster innovation, optimization, and productivity.