I reflected on the heated debate about who should own data quality and concluded that responsibility must be shared by everyone involved in the data lifecycle – producers, consumers, and engineers alike.
Data quality is a hot topic; producers, consumers, and engineers each have a role to ensure clean, accurate, and valuable data.
- Data producers: generate and input data carefully.
I decided to assign collective responsibility because each group influences a different stage of the pipeline, and collaborative effort maximises overall data quality.
- Data consumers: stay aware of usage and suggest improvements.
- Data engineers: build validation pipelines and monitoring infrastructure.