You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox
Job Summary
You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.
This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development.
You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance.
Matching Summary
You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.
Skills & Requirements
Must-have
design and implement shared data models
standardization of data engineering practices
modernize orchestration and improve pipelines
shift-left data governance strategy
translate metric definitions into data pipelines
improve pipeline observability and recovery
integrate AI-native tooling
Nice-to-have
modern lakehouse architectures
orchestration or platform modernization
data governance and observability tools
metrics/semantic layer experience
establish data engineering standards
Key Requirements
12+ years of data engineering or analytics engineering experience
12+ years of SQL experience
8+ years of Python development experience
Deep expertise in dimensional data modeling
Strong experience with orchestration tools (Airflow)
BS degree in Computer Science or equivalent experience