Syndesus

Compensation

Full Description

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.