Lead AI Enterprise Data Engineer

About the Company Our client is a global consumer technology company building high-performance security products used by millions worldwide. They are committed to building an inclusive environment where engineers can have meaningful impact at global scale.

About the Role

They are seeking a Lead AI Enterprise Data Engineer to architect scalable data platforms and production-grade AI solutions that power real-time monitoring, intelligent dashboards, and engineering productivity tools. This is a hybrid role based in Frisco, TX. Candidates must be within commuting distance. On-site presence is required as needed. Relocation assistance is not available.

Responsibilities

Define and implement operational and business metrics using transactional, telemetry, and customer behavior data Build near real-time dashboards for eCommerce funnels, subscription flows, payments, and key operational KPIs Develop scalable data pipelines in Databricks using PySpark, Delta Lake, Workflows, and Medallion architecture Optimize Databricks-based data lake structures across eCommerce and MarTech domains Implement automated data quality and validation frameworks Design and deploy AI models for anomaly detection, churn forecasting, and funnel drop-off prediction Develop AI-powered copilots and internal tools to improve engineering productivity Integrate LLMs such as OpenAI, Claude, LangChain, and open-source models into production systems Build AI agents using AWS GenAI tooling Track AI-driven KPIs and deploy enterprise or localized LLM solutions Integrate AI systems with platform APIs, telemetry streams, and Databricks workflows Design orchestration layers that enable automated decision-making Architect scalable data and AI solutions across Databricks and AWS Implement CI/CD pipelines for AI and ML workflows Develop cost optimization strategies and AI governance frameworks Automate incident intelligence, monitoring, and reporting

Qualifications

10+ years of enterprise application development experience 3+ years of hands-on AI/ML experience in production environments Deep expertise with Databricks (PySpark, Delta Lake, Workflows) Experience building AI agents and GenAI integrations within AWS Strong SQL and NoSQL database experience Experience with BI and visualization tools such as Power BI, Tableau, Looker, or Grafana eCommerce or MarTech domain experience preferred Strong architectural thinking and ability to drive cross-functional technical initiatives

Pay range

and compensation package Our client offers competitive compensation and a comprehensive benefits package, including: Performance-based bonus program Retirement and pension plans Medical, dental, and vision coverage Generous paid time off Paid parental leave Flexible work arrangements Community involvement support Equal Opportunity Statement They are committed to fostering an inclusive environment where employees feel valued, supported, and empowered to do their best work.