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.