Lead AI Enterprise Data Engineer - Ecommerce
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Role details
Tech stack
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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. eCommerce or Martech domain knowledge preferred.
About the company
Insight Global is seeking a Lead AI Enterprise Data Engineer - Ecommerce that will sit hybrid at a Cybersecurity client in Frisco, Texas. You 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 the clients eCommerce ecosystem.
(This role can pay $200,000-220,000 based on years of experience).
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