Part 6/13:
Designing Effective Data Architectures: Key Considerations
When asked about building robust data architectures, the interviewee stressed that success hinges not just on technology but also significantly on organizational maturity and talent.
He pointed out that teams with limited data engineering or analytics experience risk inefficient migrations to the cloud, resulting in higher costs and operational issues. For example, unoptimized queries, failure to leverage delta loads, or lack of understanding of compute costs can lead to skyrocketing expenses.