VOIDS

Solutions Engineer

• Own the reliability and growth of the data infrastructure end-to-end
• Expand the data connector ecosystem beyond Shopify and Amazon
• Evaluate, implement, and maintain new data sources while preserving system stability and customization tolerance
• Work closely with customers to understand data sources, requirements, and edge cases
• Serve as the first technical contact for data entering the system
• Communicate with customers during onboarding and pilot projects and collaborate asynchronously with the internal team
• Bridge customer needs and technical implementation by translating messy real-world data into reliable pipelines
• Suggest solutions to customers proactively based on e-commerce understanding
• Own the Bronze → Silver → Gold medallion architecture
• Scale pipelines for more data, faster processing, and lower costs
• Develop abstraction layers for customers with unique requirements
• Improve developer experience and enable fast iteration cycles
• Delegate testing, development, staging, and production workflows to AI agents where possible
• Build and maintain AI-driven pipelines capable of deep customization without system failures
• Own the full development lifecycle from testing through production with automated checks at every layer
• Set up and maintain testing environments and DataOps/MLOps workflows
• Identify and resolve bottlenecks, inconsistencies, and schema drift before they reach downstream consumers

Forward Deployed Engineer – Integrations, Customer Success