How do you develop a data model?

Developing a data model involves several steps: gathering requirements, identifying entities and relationships, designing conceptual and logical models, and finally translating them into a physical schema for implementation. Tools like ER diagrams and platforms like dbt or ER/Studio are commonly used by data engineers and architects during this process.

A data engineering company will typically involve both domain experts and data engineering consultants to align the model with business goals. Proper data modeling is foundational to creating reliable and efficient data engineering solutions that scale with business growth.