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We’ve invested heavily in building a modern data and analytics ecosystem—Lift Legacy (1.0/2.0), Airflow-powered ETL pipelines, a BigQuery data warehouse, internal tools like Walk the Store, Lift AI, and multi-tenant client reporting through Looker Studio Pro. All of these systems depend on a single backbone: the underlying pipelines, marketplace APIs, legacy data flows, and reporting layers that power our client experience. Today, that backbone is primarily owned by one person. We’re now bringing in a dedicated full-stack engineer to scale, harden, and expand the platform. This role is not speculative—it directly supports strategic initiatives the company has already committed to, with clear ROI through vendor spend reduction, faster delivery, and reduced key-person risk.
Job Responsibility:
Data Platform & Airflow ETL: Harden and standardize Airflow pipelines for reliability, observability, and error handling
Break complex DAGs into typed, modular components
Ensure clean and timely data delivery across Marketplace, Lift AI, and client reporting
Marketplace API Ownership (Amazon → Walmart): Build robust SP-API and Walmart integrations (read + future write actions)
Move critical data flows away from third-party providers (Cajari, Intentwise)
Expand our internal dataset coverage over time
Walk the Store – Productization & Scale: Own backend integrations and data plumbing supporting the product
Build features like daily alerts, resolution workflows, and cost-to-fix models
Work closely with product and stakeholders to drive WtS to true product-market fit
Client-Facing Analytics (Looker Studio Pro): Strengthen and extend our multi-tenant reporting setup
Build repeatable patterns for client-specific dashboards and secure data access
Increase client stickiness by making analytics a first-class product
Legacy Lift (1.0/2.0) Support & Migration: Maintain mission-critical features still in daily use
Gradually refactor high-value components into modern Python/ETL services
Reduce long-term technical debt and central points of failure