Expert D&T - Senior Data Modeler - Procurement
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Job description
Experteer Overview As Senior Data Modeler, you will own the design and governance of enterprise data models built on Data Vault 2.0 within a Medallion Architecture for the Procurement domain.You’ll define modeling standards, ensure historical accuracy, and maintain a living catalog of models, collaborating with product owners, SMEs, BI, and analytics teams to deliver consumption-ready structures.This role shapes data architecture across vault and analytical layers, enabling precise insights and scalable governance.Join a science-led company driving health and sustainability with cross-functional impact.Compensaciones / Beneficios - Own data model design across the integrated vault and analytical layers ensuring integrity and analytical fitness - Define and govern the modeling approach per business domain across layers based on requirements - Deliver implementation-ready model specifications for data engineering teams - Translate complex business requirements into formal models with SMEs and product owners - Collaborate with BI/analytics to validate consumption-ready structures for reporting - Define and enforce modeling standards, naming conventions, and metadata practices and maintain the enterprise data model catalogResponsabilidades - Proven ability to lead the full Data Vault modeling lifecycle from concept to physical design - Deep, hands-on Data Vault 2.0 expertise and strong dimensional modeling for analytics - Experience governing data models across historized and consumption layers - Solid understanding of Medallion Architecture and layer mappings - Ability to produce unambiguous, implementable model specifications for execution by data engineers - Experience at the intersection of business and technology and ability to formalize domain knowledge into data structures - Proficiency in data modeling tools and understanding of ETL/ELT translation (not ownership) - Excellent documentation and communication skills for technical and non-technical audiences - Familiarity with SAP data structures and S/4HANA/ECC differences affecting modeling - 5-8 years in enterprise data modeling with track record in complex environmentsRequisitos principales - unique career paths across health, nutrition and beauty - science-led company and cutting-edge research - professional growth and development - collaborative culture and shared wins - employee voice matters and inclusive culture - global team and mobility across borders
Requirements
Experteer Overview As Senior Data Modeler, you will own the design and governance of enterprise data models built on Data Vault 2.0 within a Medallion Architecture for the Procurement domain. You’ll define modeling standards, ensure historical accuracy, and maintain a living catalog of models, collaborating with product owners, SMEs, BI, and analytics teams to deliver consumption-ready structures. This role shapes data architecture across vault and analytical layers, enabling precise insights and scalable governance. Join a science-led company driving health and sustainability with cross-functional impact.Compensaciones / Beneficios - Own data model design across the integrated vault and analytical layers ensuring integrity and analytical fitness - Define and govern the modeling approach per business domain across layers based on requirements - Deliver implementation-ready model specifications for data engineering teams - Translate complex business requirements into formal models with SMEs and product owners - Collaborate with BI/analytics to validate consumption-ready structures for reporting - Define and enforce modeling standards, naming conventions, and metadata practices and maintain the enterprise data model catalogResponsabilidades - Proven ability to lead the full Data Vault modeling lifecycle from concept to physical design - Deep, hands-on Data Vault 2.0 expertise and strong dimensional modeling for analytics - Experience governing data models across historized and consumption layers - Solid understanding of Medallion Architecture and layer mappings - Ability to produce unambiguous, implementable model specifications for execution by data engineers - Experience at the intersection of business and technology and ability to formalize domain knowledge into data structures - Proficiency in data modeling tools and understanding of ETL/ELT translation (not ownership) - Excellent documentation and communication skills for technical and non-technical audiences - Familiarity with SAP data structures and S/4HANA/ECC differences affecting modeling - 5-8 years in enterprise data modeling with track record in complex environmentsRequisitos principales - unique career paths across health, nutrition and beauty - science-led company and cutting-edge research - professional growth and development - collaborative culture and shared wins - employee voice matters and inclusive culture - global team and mobility across borders
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