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 Â鶹´«Ã½Ó³»­ Enterprise Data Engineer to architect scalable data platforms and production-grade Â鶹´«Ã½Ó³»­ 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 Â鶹´«Ã½Ó³»­ models for anomaly detection, churn forecasting, and funnel drop-off prediction
  • Develop Â鶹´«Ã½Ó³»­-powered copilots and internal tools to improve engineering productivity
  • Integrate LLMs such as OpenÂ鶹´«Ã½Ó³»­, Claude, LangChain, and open-source models into production systems
  • Build Â鶹´«Ã½Ó³»­ agents using AWS GenÂ鶹´«Ã½Ó³»­ tooling
  • Track Â鶹´«Ã½Ó³»­-driven KPIs and deploy enterprise or localized LLM solutions
  • Integrate Â鶹´«Ã½Ó³»­ systems with platform APIs, telemetry streams, and Databricks workflows
  • Design orchestration layers that enable automated decision-making
  • Architect scalable data and Â鶹´«Ã½Ó³»­ solutions across Databricks and AWS
  • Implement CI/CD pipelines for Â鶹´«Ã½Ó³»­ and ML workflows
  • Develop cost optimization strategies and Â鶹´«Ã½Ó³»­ governance frameworks
  • Automate incident intelligence, monitoring, and reporting



Qualifications


  • 10+ years of enterprise application development experience
  • 3+ years of hands-on Â鶹´«Ã½Ó³»­/ML experience in production environments
  • Deep expertise with Databricks (PySpark, Delta Lake, Workflows)
  • Experience building Â鶹´«Ã½Ó³»­ agents and GenÂ鶹´«Ã½Ó³»­ 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.