Senior Data Architect

Job description

Collaborate with teams to support seamless data accessibility while adhering to functional domain objectives. Works with Product owners, Business stewards, Business Intelligence Engineers, Data Scientists and end users to understand data consumers' needs and develop data products/ data solutions within assigned domain. Designs Data models for Source data products and Master data products including schema design, table definitions, and column specifications.

Designs and implements semantic models following established standards, supporting BI reporting, AI applications, and conversational analytics use cases. Support Data Engineering and BI Engineering teams during the build phase Contributes to standards and best practices documentation. Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).

Participate in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture chapter. Design and develop data products / data solutions within the Global Operations function supporting analytical and decision intelligence use cases that leverage a large variety of data sources from internal and external systems Experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.).

Experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.). Experience in designing semantic models for BI/AI data requirements Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders