The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Own core data pipelines end-to-end, building deep subject matter expertise in: the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale
Serve as the technical owner and architectural lead for our offline: experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions
Continuously evolve data models and schemas to meet business and engineering requirements
Develop AI tools that support self-service management of data pipelines (ETL): and schema evolution, and perform hands-on SQL tuning to optimize data processing performance
Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
Participate in code and architecture reviews to ensure code quality and distribute knowledge
What they're looking for
- Manage on-call rotations and proactively improve team processes
- Mentor others, give brown bags, and promote engineering best practices across the team
