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Data roles run the pipeline from raw events to decisions: ingestion and warehousing, modelling and transformation, dashboards, experiment analysis, and the definitions everyone else quotes in meetings.
Anyone with enough customers to argue about metrics. Data engineering skews toward larger companies and infrastructure vendors; analytics and analytics engineering are common at mid-size product companies.
Check whether the role is building pipelines or answering questions — both are called "data" and they are different jobs. Ask who owns metric definitions, and whether the warehouse already exists or you are the one standing it up.