Defining the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees.Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
Data architect responsibilitiesĪccording to Panoply, typical data architect responsibilities include: They often report to data infrastructure and data science leads. The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.ĭata architects are frequently part of a data science team and tasked with leading data system projects.
This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.
