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Data Architect Mock Interview

Question 2 of 14 for our Data Architect Mock Interview

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Question 2 of 14

Have you been involved with the improvement of a company's existing data architecture? If so, explain your role in the process and the impact the change had on the company overall.

Although it is important to complete routine tasks and maintenance, it is also vital for Data Architects to be viewing current environments with a critical eye. Hiring managers would like to hear how prospective hires took the initiative to question current processes and structures with the purpose of increasing efficiency and productivity. Present yourself as someone that continually views the 'big picture' and does not get absorbed in only the routine tasks.

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How to Answer: Have you been involved with the improvement of a company's existing data architecture? If so, explain your role in the process and the impact the change had on the company overall.

Advice and answer examples written specifically for a Data Architect job interview.

  • 2. Have you been involved with the improvement of a company's existing data architecture? If so, explain your role in the process and the impact the change had on the company overall.

      How to Answer

      Although it is important to complete routine tasks and maintenance, it is also vital for Data Architects to be viewing current environments with a critical eye. Hiring managers would like to hear how prospective hires took the initiative to question current processes and structures with the purpose of increasing efficiency and productivity. Present yourself as someone that continually views the 'big picture' and does not get absorbed in only the routine tasks.

      Answer Example

      "In my experience, marrying external data with internal data within corporate systems can bring about possible issues of data integrity. I initiated a project where I developed a process that carefully screened our 3rd-party purchased data using several detailed steps. I also established a close relationship with our data supplier who agreed to run several checks on the data before sending it over to us. This increased our data reliability and reduced database errors by 34% over a span of a year."