Lead AI Enterprise Data Engineer – eCommerce

Role Overview: The Lead AI Enterprise Data Engineer will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards. This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance engineering productivity, and strengthen operational intelligence across McAfee’s eCommerce ecosystem. This is a Hybrid position located at our Frisco, TX. You will be required to be on-site 2 to 3 days a week on a as needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time About the Role Design operational and business metrics using transactional data, telemetry, and customer behavior data. Build near real-time dashboards for eCommerce funnel metrics, subscription flows, payments, and operational KPIs. Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture). Optimize Databricks-based data lake structures for analytics across eCommerce and MarTech domains. Build automated data quality validation frameworks. Build AI models for anomaly detection, churn forecasting, and funnel drop-off prediction. Crea