Software Engineer – Data Platform
| Company | Notion |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $220000 – $298000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- You have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.
- You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).
- You’ve experienced the challenges of scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume.
Responsibilities
- You’ll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impact.
- You’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.
- You’ll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organization.
- You’ll determine the best ways to handle Notion’s unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.
Preferred Qualifications
- You’ve built out data infrastructure from, or nearly from, scratch at a fast-growing startup.
- You’ve led a Data Platform / Infrastructure / Data Engineering Team.
- You have experience building MLOps and ML serving infrastructure.