Lead AI Enterprise Data Engineer - Ecommerce
Role details
Job location
Tech stack
Requirements
10+ years enterprise application development experience. -3+ years hands-on AI/ML experience. -Expert-level Databricks experience (PySpark, Delta Lake, Workflows). -Experience with AWS for AI agent building and GenAI integrations. -Strong SQL/NoSQL experience. -Experience with BI tools (Power BI, Tableau, Looker, Grafana). -Reliable real-time and historical eCommerce monitoring. -Improved funnel conversion via predictive analytics. -Faster incident triage via AI-driven insights. -Higher engineering productivity via AI copilots. -Cost-efficient AI and data operations across AWS + Databricks.
Nice to Have Skills & Experience
eCommerce or Martech domain knowledge preferred.
Benefits & conditions
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.