Data Engineer Lead

Job Description Build and maintain scalable data solutions to support marketing analytics and audience activation initiatives , with a strong focus on Databricks, governed data structures, reusable components, and reliable data pipelines. The ideal candidate has strong experience working with Databricks, Git-based development workflows, marketing performance data, customer identity matching, and data governance . You will work with data from multiple enterprise sources, transform legacy audience logic into governed definitions, and build reliable data products that support analytics and downstream activation. Responsibilities Develop and maintain scalable data pipelines in Databricks , using Unity Catalog and Delta . Curate Genie spaces and semantic layers , including table and column metadata, certified metric definitions, example SQL, and trusted assets. Maintain and refactor existing Git/GitHub repositories , developing modular and reusable data components. Implement CI/CD workflows for Databricks solutions, including promotion from development to controlled UAT environments. Model marketing performance data including email events, campaign and promotion history, offers, packages, and tours . Build point-in-time audience histories and connect marketing sends with downstream sales outcomes. Develop data solutions at the person and household grain , using ID crosswalks and match rules based on existing identity resolution outputs. Implement suppression and consent requiremen