Data Engineer

• Build and maintain production-ready data pipelines that power business intelligence, experimentation, and scientific discovery
• Manage and optimize our Snowflake data warehouse—monitoring performance, costs, and query efficiency
• Make technical architectural decisions about data modeling, warehouse design, and pipeline orchestration
• Drive reliability and observability across the data stack through monitoring, alerting, and documentation
• Partner with Analytics and Reporting team to ensure the infrastructure serves both technical and business needs
• Act as the engineering checkpoint for data integrity, ensuring accuracy, completeness, and timeliness
• Implement robust data quality testing, validation, and monitoring frameworks
• Design and maintain data governance policies, access controls, and security standards
• Troubleshoot and resolve data pipeline failures with urgency and precision
• Build custom ETL/ELT solutions for data sources not supported by out-of-the-box connectors
• Design API integrations with third-party platforms (Amazon Seller Central, advertising platforms, etc.)
• Develop scalable, maintainable code with comprehensive error handling and logging
• Deploy and orchestrate jobs using Heroku, Airflow, or similar scheduling tools
• Monitor production systems and respond to failures proactively
• Translate stakeholder data requirements into technical solutions
• Collaborate with Analytics, Product, and Marketing teams on feasibility and technical guidance
• Participate in data architecture discussions with Engineering leadership

Data Engineer

Data Engineer

Senior Principal Data Architecture – Corporate Functions

Data Engineer

Data Operations Engineer

Chief Data Architect