Lead AI Enterprise Data Engineer (Hybrid/Frisco)

Syndesus, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Job summary

Syndesus, Inc. is partnering with a global consumer technology company to recruit a Lead AI Enterprise Data Engineer who will architect scalable data platforms and production‑grade AI solutions powering real‑time monitoring, 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 and relocation assistance is not available. The base pay range is $180,000–$230,000 per year.

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

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

Tools

Databricks

PySpark

Delta Lake

Workflows

AWS

SQL

NoSQL

Power BI

Tableau

Looker

Grafana

GenAI integration

AI governance

Job description

Syndesus, Inc. is partnering with a global consumer technology company to recruit a Lead AI Enterprise Data Engineer who will architect scalable data platforms and production‑grade AI solutions powering real‑time monitoring, 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 and relocation assistance is not available. The base pay range is $180,000–$230,000 per year.