• Understand our existing data and architecture deeply (granular level).

• Design Business Object, Canonical and Semantic Models at the enterprise and/or individual line of business and/or product level.

• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms.

• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.

• Be able to make presentations to senior management.

• Contribute to the development of the Data Modeling team’s tools, skills, culture, and impact.

Skills

• 10+ years of extensive work e...