Data Architect Mock Interview

Master 14 Data Architect interview questions covering system design, data modeling, and cloud infrastructure.

Question 11 of 14

Describe any metrics you may have created or used as a Data Architect in order to measure quality and consistency of new and existing data.

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Helen Lee is a freelance data analyst and writer. She has over 15 years of marketing experience working for companies and clients in financial services, quick-service restaurants (QSR), consumer packaged goods (CPG), and education technology.

Having a protocol to ensure data quality and consistency is an important component to any company's data infrastructure. Your experience in this area is valuable as it proves your are knowledgeable about assessing the value of the data.

Helen Lee

"In my career as a Data Architect, ensuring data quality has always been a part of my job to some degree. There were a number of dimensions we monitored to validate the data quality and consistency. These dimensions included Duplication and Completeness. Duplication measured the percent of records that were duplicated in a given data set, while Completeness measured the proportion of records that had all the necessary data fields populated. By monitoring these particular dimensions we could be alerted to data inconsistencies that could negatively affect the work of data analysts in the company."

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