Senior Data Platform Architect - Subscriptions (Remote)

Spotify; Bagstone; Remote; GBP 110.000 - 165.000; Vollzeit

Zusammenfassung

Spotify is seeking a Remote Staff Data Engineer for the Subscriptions User Understanding domain. You will define long-term data engineering strategy and design scalable data platforms to support analytics, experimentation, and ML for over 200 million Premium subscribers globally.

You will partner with product, engineering, data science, analytics and platform teams to drive architectural decisions, ensure data quality and governance, and mentor senior engineers while shaping the data ecosystem

Qualifikationen

• Extensive experience designing, building, and operating large-scale cloud-native data platforms.
• Ability to define long-term direction and influence engineering across squads.
• Strong communication and collaboration skills with product, analytics and leadership.

Aufgaben

• Define long-term data engineering strategy for the Subscriptions User Understanding domain.
• Design scalable batch and streaming data platforms for analytics and ML.
• Partner with Product, Engineering, Data Science, Analytics and Platform teams to craft durable data solutions.
• Lead architectural decisions and establish best practices for data quality, governance and observability.
• Design data models and platform architecture to scale toward one billion users.
• Reduce technical debt and improve developer experience across the data ecosystem.
• Mentor senior engineers and promote thoughtful engineering and knowledge sharing.

Kenntnisse

Data engineering

Cloud platforms

Distributed pipelines

Technical leadership

Cross-team collaboration

Tools

Scio

BigQuery

Dataflow

GCS

Python

Jobbeschreibung

Spotify is seeking a Remote Staff Data Engineer for the Subscriptions User Understanding domain. You will define long-term data engineering strategy and design scalable data platforms to support analytics, experimentation, and ML for over 200 million Premium subscribers globally.

You will partner with product, engineering, data science, analytics and platform teams to drive architectural decisions, ensure data quality and governance, and mentor senior engineers while shaping the data ecosystem