Data Modelling Expert

Title: Data Modelling Expert

Location: Columbus, OH (Onsite)

Duration: Full-time

Must Have Technical/Functional Skills

• Define entities, relationships, and keys (primary/foreign keys) and document cardinalities.
• Specify table grain (row-level meaning) for each fact/event/feature table.
• Create dimension tables with consistent codes, descriptions, and hierarchy attributes where applicable.
• Create fact/event tables with measures, timestamps, and join keys to relevant dimensions/entities.
• Represent time using standard date/time fields and, when needed, effective start/end dates for history.
• Standardize naming conventions, data types, units, and allowed values (domains) across models.
• Add metadata and documentation (field definitions, source system, refresh cadence, owner).
• Implement basic validation checks (nullability, uniqueness, referential integrity, value ranges).
• Design outputs for common access patterns (joins, filters, aggregations) used by OLAP and AI pipelines.
• Maintain versioning/change history for models and update downstream dependencies when schemas change.
• Eligible to workimize the models for performance of AI/BI use cases.
• Good understanding of Databricks concepts.
• Good understanding of tools like Erwin.

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