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Data modeling

Data modeling is a critical facet of Data Engineering. It involves conceptualising and organizing data structures to build robust, efficient databases. Performed well, this enhances data consistency, reduces redundancy and improves data integrity, ultimately supporting astute decision-making.

Foundational

At a foundational level you are able to recognize basic data structures and understand how data is organized within simple databases. You contribute to tasks like documenting data fields and following established data modeling guidelines under supervision. Your work helps support reliable and consistent data that others can use with confidence.

Developing

At a developing level you are able to create basic data models under guidance, applying standard principles to organize and structure data. You work with existing schemas and make simple changes to support project needs. By doing this, you help ensure data is consistent and reliable for others in your team.

Proficient

At a proficient level you are able to design and implement data models that are fit for purpose and scalable across a range of data engineering projects. You use sound modeling techniques to organize data efficiently, ensuring reliability and consistency. Your work enables teams to access quality data, supporting better business decisions and smoother operations.

Advanced

At an advanced level you are able to design complex data models that support large-scale, high-performance data solutions across the organization. You anticipate business needs and integrate advanced data concepts to drive consistency and reliability. Your work ensures that data is well-structured, making it easier for others to access accurate information and make informed decisions.

Expert

At an expert level you are designing and evolving advanced data models that anticipate complex business needs and future growth. You establish best practices for data modeling across teams, mentoring others and setting high standards for quality and efficiency. Your models drive reliable, scalable data systems that support confident, data-driven decisions across the organization.

Where is this capability used?