Tech Stack

Description

You will architect and maintain complex marketing databases and pipelines to enable advanced segmentation, targeting, and analytics. You'll design data infrastructure for AI/ML initiatives, support conversational BI, automate manual tasks, and manage high-volume data pipelines. You'll partner with non-technical stakeholders to translate business questions into scalable data solutions.

Requirements

• 5+ years of data engineering or adjacent role experience
• Expert Python and SQL knowledge with strong data modeling experience
• Proven experience engineering data pipelines for AI/ML

Responsibilities

• Architect and maintain complex marketing databases, datasets, pipelines and Customer Data Platform (CDP)
• Design data infrastructure for AI/ML initiatives including Generative AI pipelines and vector database integrations
• Support execution of conversational BI and Ambient AI within marketing
• Automate manual tasks using AI to improve efficiency
• Manage critical high-volume data pipelines and improve efficiency and data quality