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: