Lead AI Enterprise Data Engineer - eCommerce

McAfee, Inc.
Frisco, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Frisco, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Machine Learning
McAfee VirusScan
NoSQL
Power BI
Standard Sql
DataOps
Systems Integration
Tableau
Transaction Data
Enterprise Data Management
Enterprise Software Applications
Grafana
Data Lake
PySpark
Data Analytics
Virtual Agents
Looker Analytics
Data Pipelines
Databricks

Job description

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.

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).

  • eCommerce or Martech domain knowledge preferred.

  • 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.

Benefits & conditions

We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program

  • Pension and Retirement Plans

  • Medical, Dental and Vision Coverage

  • Paid Time Off

  • Paid Parental Leave

About the company

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. _Company Benefits and Perks:_ We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We're proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we've built where people feel seen, valued, and energized to reach their full potential and thrive.

Apply for this position