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Engineering Manager, Data Platform Foundations

Notion· Engineering
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Hybrid (San Francisco, California)$281k - $334kFull-timePosted 4w ago

About the role

Notion is seeking an Engineering Manager to lead the Data Foundations team, owning the batch/streaming infrastructure and a multi-quarter platform strategy to serve product features, analytics, search, and AI experiences.

Responsibilities

  • Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it.
  • Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability.
  • Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams.
  • Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement.
  • Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale.
  • Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration.

Qualifications

  • 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.
  • You don’t need deep AI expertise for every role, but you are curious, enjoy tinkering, and comfortable using AI as a collaborator in work.

Skills

Required:Data-platform design and operationDirection-setting and strategyTeam-building and leadershipHands-on engineering judgmentPlatform-product thinkingOrganizational influence

Benefits

  • Not specified in detail in the description.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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