Stord is the leading Consumer Experience Company dedicated to transforming the way brands deliver seamless checkout and delivery solutions. Headquartered in Atlanta, Stord has established a robust presence across the United States, Canada, and Europe, providing innovative commerce-enablement technology combined with high-volume fulfillment services. Our platform empowers brands to compete with retail giants by managing over $10 billion in commerce annually through our comprehensive suite of fulfillment, warehousing, transportation, and software solutions, including Order Management Systems (OMS), Pre- and Post-Purchase platforms, and Warehouse Management Systems (WMS). Backed by top-tier investors such as Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures, Stord is experiencing rapid growth and is on track to double its revenue within the next 18 months. Our mission is to level the playing field for all brands, enabling them to deliver exceptional consumer experiences at scale, increase conversion rates, improve unit economics, and foster sustained customer loyalty.
About The Role
We are seeking an experienced Senior Data Engineer to join our dynamic team at Stord. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data pipelines, and transforming data into strategic assets that drive business growth. Your expertise will support our machine learning applications and AI systems, working closely with data scientists, product managers, and engineering teams to create scalable, reliable, and efficient data solutions. This is a unique opportunity for a passionate data professional to influence the future of data-driven decision-making in a fast-paced, innovative environment. You will be responsible for designing, developing, and maintaining data pipelines, re-architecting our data warehouse, and ensuring data quality and security across our cloud infrastructure. Your work will directly impact our ability to deliver industry-leading consumer experiences and support our rapid growth trajectory.
Qualifications
- Minimum of 5+ years of experience in data engineering or a related field, with a proven track record of building and maintaining scalable data pipelines and data warehouses.
- Extensive experience working with cloud platforms, preferably Google Cloud Platform (GCP), including data lakes, data warehouses, and data pipelines.
- Strong proficiency in SQL and Python, with hands-on experience using data transformation tools such as dbt or similar.
- Familiarity with data pipeline orchestration tools like Apache Airflow, Prefect, or equivalent.
- Experience with data warehousing technologies such as BigQuery, Snowflake, or comparable systems.
- Understanding of data lake concepts and technologies, alongside data modeling and data governance best practices.
- Knowledge of basic machine learning concepts, data preparation techniques, and model evaluation processes.
- Experience with version control systems, particularly Git, to manage code and collaborate effectively.
- Design, develop, and maintain scalable and reliable data pipelines utilizing modern data engineering tools and best practices.
- Lead efforts to re-architect and optimize our data warehouse infrastructure to enhance performance, scalability, and data quality.
- Implement data cleansing, transformation, and validation processes to ensure the accuracy, consistency, and integrity of data across platforms.
- Collaborate with engineering, data science, and product teams to gather requirements and develop effective data models.
- Build and manage data infrastructure on GCP, including data lakes, warehouses, and pipelines, ensuring efficiency and security.
- Monitor pipeline performance, troubleshoot issues, and optimize data storage and retrieval for cost and performance efficiency.
- Implement and uphold data security standards and governance policies to protect sensitive information.
- Prepare and transform data to support machine learning models, ensuring high data quality and accessibility for AI initiatives.
- Assist in basic data analysis and reporting to support the AI and data science teams.
- Document data processes, pipelines, and models for knowledge sharing and maintainability.
- Provide technical mentorship and guidance to junior team members, fostering a culture of continuous improvement and innovation.
- Collaborate cross-functionally to integrate machine learning solutions into the broader platform and promote data democratization across the organization.
At Stord, we value our team members and offer a comprehensive benefits package designed to support your professional and personal growth. Our benefits include competitive salary packages, health, dental, and vision insurance, and generous paid time off. We promote a flexible work environment with opportunities for remote work and flexible hours to support work-life balance. Employees have access to ongoing learning and development programs, including technical training and leadership development initiatives. Additionally, we offer stock options and performance-based incentives, fostering a sense of ownership and shared success. Our commitment to fostering an inclusive and collaborative culture ensures that every team member is valued and empowered to contribute to our mission of transforming commerce and logistics.
Equal Opportunity
Stord is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other legally protected status. We believe that diverse perspectives foster innovation and drive our success, and we encourage candidates from all backgrounds to apply and join our team in shaping the future of commerce and logistics.
