Lead AI Enterprise Data Engineer – eCommerce

Role Overview

Lead AI Enterprise Data Engineer drives the transformation of eCommerce operational analytics and real‑time monitoring by building scalable data pipelines, AI‑powered insights, and intelligent dashboards at McAfee’s eCommerce ecosystem. This hybrid position requires on‑site presence 2‑3 days per week in Frisco, TX.

• 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 eCommerce and Mar Tech analytics.
• Build automated data quality validation frameworks.
• Build AI models for anomaly detection, churn forecasting, and funnel drop‑off prediction.
• Create AI‑powered copilots and tools to boost engineering productivity.
• Integrate LLMs (OpenAI, Claude, Lang Chain, OSS models) and build AI agents using AWS GenAI tooling.
• Track AI‑driven KPIs and deploy enterprise/local LLM solutions.
• Integrate AI systems with eCommerce platform APIs, telemetry, and Databricks workflows.
• Build orchestration layers for automated decision‑making.
• Architect scalable data + AI solutions using Databricks and AWS.
• Implement CI/CD for AI/ML workflows.
• Build cost‑optimization and AI usage governance tooling.
• Automate incident intelligence and reporting.

• 10+ years of enterprise application development experience.
• 3+ years of hands‑on AI/ML experience.
• Expertise in Databricks (PySpark, Delta Lake, Workflows).
• Experience with AWS for AI agent building and GenAI integrations.
• Strong SQL and No
  
  SQL skills.
• Experience with BI tools (Power BI, Tableau, Looker, Grafana).
• eCommerce or Mar Tech domain knowledge preferred.
• Reliable real‑time and historical eCommerce monitoring.
• Proven ability to improve funnel conversion through predictive analytics.
• Proven ability to accelerate incident triage via AI‑driven insights.
• Proven ability to raise engineering productivity through AI copilots.
• Experience designing cost‑efficient AI and data operations across AWS and Databricks.

• Paid time off, paid parental leave, and community‑involvement support.
• Medical, dental and vision coverage.
• Retirement plans and pension program.
• Bonus program and flexible work hours.
• Commitment to diversity, equality and inclusion with anti‑discrimination policies.

McAfee is committed to equal employment opportunity and prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Reasonable accommodations for applicants and employees with disabilities are available. McAfee adheres to the Privacy Policy available in its public communications.