Lead AI Enterprise Data Engineer

Syndesus • Frisco, TX

4h • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• eCommerce or MarTech domain experience preferred
• Strong architectural thinking and ability to drive cross-functional technical initiatives

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed