Senior Data Modeller

Senior Data Modellers to design and implement enterprise data models for the Channels domain as part of a large-scale Databricks Lakehouse program. The role covers conceptual, logical, canonical, and physical data modeling across multiple business domains and source systems. The successful candidate will work closely with business stakeholders, data architects, and engineering teams to translate complex operational landscapes into consistent, governed, and analytics-ready data structures.

Requirements:

• 9+ years of hands-on enterprise data modeling experience.
• Industry background in retail, distribution, supply chain, HCM, logistics, or wholesale.
• Proven experience modeling large enterprise environments spanning 20+ source systems.
• Strong functional understanding of sales and distribution, supply chain management (SCM), warehouse management (WMS), and inventory management.
• Working knowledge of logistics and fulfillment, finance and accounting, accounts receivable (AR), human
• Capital Management (HCM) and Customer and Partner Management.
• Practical expertise across conceptual, logical, canonical, dimensional, and master data modeling.
• Experience producing source-to-target mapping documentation.
• Exposure to business glossary and metadata management practices.

Good to Have:

• Hands-on experience delivering models on the Databricks Lakehouse platform (Delta Lake, Unity Catalog).
• Familiarity with data modeling tools such as ERwin, ER/Studio, or SqlDBM.
• Strong SQL and an understanding of modern data warehousing and medallion architecture patterns.
• Experience working within a formal data governance or data quality framework.

Skills

Data Structures, Data Analysis, Data Warehousing, SQL, Databricks