Senior Data Engineer (GCP)

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission. By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale. With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order. Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered [... source excerpt omitted ...] lesforce Ventures. We are looking for an experienced Data Engineer to join our dynamic and innovative team and help us re-shape data at Stord. As a Senior Data Engineer at Stord, you will be the driving force behind Stord's efforts to enhance our data pipelines, streamline our data warehouse, and make data a superpower for the business. You’ll also support some of our ML based applications and work closely with the team who design and implement AI systems at Stord. This is a unique opportunity to apply your knowledge and experience using modern tools in a rapidly developing company. You will work closely with the broader data team, our distributed group of data analysts, product [... source excerpt omitted ...] ity. Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency. Collaborate with other engineers and stakeholders to define data requirements and develop data models. Data Infrastructure Management: Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines. Optimize data storage and retrieval for performance and cost efficiency. Monitor data pipeline performance and troubleshoot issues. Implement data security and governance best practices. Machine Learning Support: Prepare and transform data for machine learning models, ensuring data quality and consistency. Enable data access f