# Software Engineer, Data Platform (Foundations Lead) at Notion

- Company: Notion
- What the company does: The story of its last-minute pivot and epic comeback. Backed by First Round.
- Company website: https://www.figma.com/blog/design-on-a-deadline-how-notion-pulled-itself-back-from-the-brink-of-failure/
- Type: Startups
- Level: Senior
- Location: San Francisco, California
- Work setup: Remote
- Pay: $281K to $334K base salary per year (USD)
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://jobs.ashbyhq.com/notion/e9bf7ffa-9cf2-4360-a2e4-e9fa66859927
- Page: https://www.1752.vc/careers/jobs/notion-software-engineer-data-platform-foundations-lead/

## About the role

Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products.

## What they're looking for

- Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations
- Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences
- Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change
- Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work
- Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions
- Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching

Tags: Engineering