Data Engineer

• Maintain and drive consistency across reference data, hierarchies, and sources and calculations for metrics for Nestle USA (“NUSA”) managed datasets.
• Define process to analyze, and map NUSA-specific data hierarchies across functions, customers, and systems.
• Collaborate with Data Management Leads to ensure the model and lexicon of the data assets meets users’ needs.
• Define sources and calculations for metrics and KPIs.
• Lead metrics standardization in functions, reconciling data as necessary.
• Work with the Business to align hierarchy with corresponding business rules, requirements, and data transformations.
• Define and manage an exception process to manage hierarchies and cross functional metrics.
• Develop and maintain data models.
• Partner with IT to develop data architecture standards, and guidelines for processing and persisting data on prim and cloud.
• Partner with IT to ensure appropriate standardization, categorization, and hierarchy is followed.

Senior Analyst, Enterprise Data Architect

Senior Principal Software Engineer, Data Architecture