PRISA operates a GCP-native data stack—BigQuery, Airflow, Vertex AI, Dataform—actively modernizing their platform while wrestling with cost optimization and production ML deployment. The tech mix (Pub/Sub, Dataplex, AlloyDB) signals a shift toward real-time event architecture, but the repeating pain point around data platform scaling and automation suggests they're outgrowing their current orchestration model. Hiring velocity is accelerating with data and engineering roles leading the charge.
PRISA is a Spanish media and education conglomerate operating across 22 countries with content brands in news (EL PAÍS), radio (Cadena SER, LOS40, W Radio), sports (AS), and K–12 education (Santillana). The company reaches millions through traditional broadcast and digital channels, with particular strength in Hispanic-speaking markets, including a growing presence in the US. Their 5,001–10,000 person workforce spans production, distribution, advertising, and technology operations. Current work centers on data platform modernization—including production ML deployments and cost optimization—alongside content strategy and infrastructure for live event coverage.
GCP-dominant: BigQuery, Apache Airflow, Composer, Vertex AI, Dataform, Pub/Sub, Dataplex, AlloyDB. Analytics and content tools include Power BI, Adobe Analytics, Google Search Console, Semrush. Python and SQL for transformation and modeling.
Modernizing their data platform, enabling production ML deployments, building data platform as a product, automating data workflows, and infrastructure for live event coverage and content strategy.
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