Metadata Management
Metadata Management is the exercise of creating, controlling, enhancing, and preserving data definitions within a system. In a data engineering context, it involves understanding how to catalog, organize, locate and retrieve data efficiently. This capability enables the creation of high-quality, reliable data systems, impacting decision making and organizational performance.
Level 1: Emerging
At a foundational level you are able to identify and record basic metadata for data assets, following established templates and guidance. You understand why accurate metadata matters and can update data catalogs as directed, helping others to find and use data more easily. Your work supports the reliability and clarity of the organization’s data systems.
Level 2: Proficient
At a developing level you are starting to use metadata tools and processes to catalog and organize data sets within your projects. You follow established guidelines to help others locate and understand data more easily, supporting consistent data use across your team. Your work helps improve data quality and reliability for everyday tasks.
Level 3: Advanced
At a proficient level you are able to manage and maintain metadata catalogs within data engineering systems, ensuring data assets are consistently described, accessible, and reliable. You use established processes to organize and upgrade metadata, making it easier for teams to locate and use data effectively. Your approach helps improve data quality and supports confident, informed decision making.
