Responsibilities include integrating internal and external data through APIs and other ingestion methods, engineering datasets within environments such as Snowflake or Databricks, and establishing the data workflows, quality controls, and documentation needed to support repeatable model development and ongoing machine learning operations. Design and maintain canonical datasets and shared data models, establishing consistent definitions, identifiers, relationships, and historical views across core marketing entities such as accounts, contacts, leads, campaigns, engagement, spend, and opportunities.