WHAT IT IS + JOB DESCRIPTION
The purpose of a Data Architect is to build complex computer database systems that are accessible, useful, and secure. A Data Architect helps define the end use of the database, and then creates a blueprint for developing, testing, and maintaining the database. The job title Data Architect is often paired with Modeler or Data Engineer.
What does a Data Architect do?
Provides data services for enterprise information strategy solutions
Works with business leaders and teams to collect and translate information requirements into data to develop data-centric solutions
Adheres to architecture standards
A Data Architect uses industry-accepted data architecture principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals.
Focuses on improving data quality, accessibility, and security
A Data Architect works to streamline data flows and models; improve consistency, quality, accessibility, and security; unify data architecture; remove unnecessary costs; and, optimize database activity across company needs.
Misconceptions about the role of a Data Architect
Data Architects are not: A lot of things! Here is a description of what separates Data Architects from Data Analysts, Data Engineers, and Data Scientists.
Important metrics for a Data Architect
Data Architects are often involved in creating and executing an organization’s overall data strategy and setting enterprise-wide quality metrics. Here are several ways to measure and evaluate the success of a data solution:
- KPIs for Data Architecture
- The Data Quality Cycle
- Key Factors in Architecting a Master Data Solution
Bonus copy for your Data Architect job description and job ad
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- Work closely with teams to collect and translate information requirements into data to develop data-centric solutions
- Ensure that industry-accepted data architecture principles and standards are integrated and followed for modeling, stored procedures, replication, regulations, and security, among other concepts, to meet technical and business goals
- Continuously improve the quality, consistency, accessibility, and security of our data activity across company needs
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