Data Architect (m/f/x)

We are looking for a Data Architect to join our Data team, a critical part of our tech infrastructure at rebuy. This role offers the opportunity to shape and optimize our data ecosystem, ensuring seamless operations that drive our platform forward.

You will play a key role in maintaining a robust and scalable data architecture. Your work will enable smooth data flows, optimize performance, and support teams across the company with reliable, high-quality data. You'll have the autonomy to make technical decisions while contributing to rebuy’s mission of making sustainable electronics accessible to all.

If you thrive in a dynamic, tech-driven environment and enjoy working with cross-functional teams, we would love to hear from you!

Ready to become part of the most important mission on this planet? We are rebuy, pioneers in the sustainable reuse of electronics and media and we are looking for you! Our mission: to make circular living accessible to all, one transaction at a time. By giving products a second chance, we reduce resource consumption and avoid unnecessary e-waste.

Our team of 600 comes from all corners of the world; we drive things forward collaboratively, take personal responsibility, value positive critical thinking, and persistently serve our customers and planet.

Key Responsibilities:

• Maintain a robust data architecture to support out e-commerce operations

• Ensure the smooth and efficient functioning of our data infrastructure

• Troubleshoot and resolve errors in the data pipeline

• Manage permissions and access controls in all of our tooling

• Oversee and optimize data flows using tools like DBT, Snowflake, Airflow, and Looker

• Implement performance enhancements for slow queries in DBT and Looker

• Establish and enforce development standards for data processes

• Evaluate and recommend new tools or technologies to enhance data processes

Maintain a robust data architecture to support out e-commerce operations

Ensure the smooth and efficient functioning of our data infrastructure

Troubleshoot and resolve errors in the data pipeline

Manage permissions and access controls in all of our tooling

Oversee and optimize data flows using tools like DBT, Snowflake, Airflow, and Looker

Implement performance enhancements for slow queries in DBT and Looker

Establish and enforce development standards for data processes

Evaluate and recommend new tools or technologies to enhance data processes