Software Engineer, Data Platform (Foundations Lead)
San Francisco · USD 281,000-334,000 / year · Full-time · Hybrid · Posted Sep 21, 2026
At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco
- Salary
- USD 281,000-334,000 / year · Base salary
About the role
- The Data Foundations team builds and operates the batch and streaming infrastructure supporting Notion's product features, analytics, search, and AI experiences.
- This hands-on technical leadership role involves shaping the next generation of the data platform to support larger customers and data-intensive products.
- The lead will set strategy, build and develop a high-performing team, and oversee multi-quarter initiatives across data lake, streaming, and distributed-compute systems.
Responsibilities
- Set the direction for Data Foundations by turning ambiguous needs into a clear multi-quarter strategy.
- Build and develop a high-performing team through hiring, setting expectations, and fostering accountability.
- Lead complex initiatives from idea to operation, including de-risking architectures and coordinating execution.
- Make the data platform enterprise-ready by guiding foundations for external key management, data residency, and access controls.
- Raise reliability, simplicity, and cost efficiency by identifying systemic risks and architectural gaps.
- Establish reusable abstractions and paved paths to scale engineering expertise.
- Partner closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security teams.
Requirements
- Deep data-platform expertise with experience designing and operating large-scale batch and streaming systems.
- Proven leadership experience managing a Data Platform or infrastructure team through multi-quarter work.
- Experience attracting strong engineers, growing people across career stages, and developing technical leaders.
- Hands-on engineering judgment with the ability to stay close to critical systems and designs.
- Platform-product thinking to turn repeated patterns into safe, ergonomic, self-serve capabilities.
- Strong organizational influence to create clarity across team boundaries and surface technical risks.
Benefits
- Competitive cash compensation
- Equity
Workplace
- Role can be based in San Francisco or New York City.
- Employees work from the office on Mondays, Tuesdays, and Thursdays (Anchor Days).
Skills
- Kafka
- Debezium
- S3
- Iceberg
- Spark
- EMR
- Athena
- Data Lake
- Streaming Infrastructure
- Distributed Compute
- EKM