Data engineering is being reinvented. The discipline that once centered on building and maintaining pipelines is becoming a more strategic role in which engineers architect systems, validate AI-generated code and play a greater role in business decisions.
Two forces are driving the change: the ever-growing complexity of data and the gradual maturation of AI. Data engineers can’t scale by simply writing more code. They need to work differently, which means embracing automation, taking on higher-level responsibilities and rethinking the…
