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Notion

Builds a workspace for notes, docs, and AI agents

Engineering Manager - Data Platform Foundations

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Designed and operated large-scale batch and streaming systems, with the ability to reason across storage, compute, ingestion, orchestration, serving, governance, and production operations.
  • Led a Data Platform or infrastructure team through multi-quarter work, including identifying problems, defining strategy, sequencing execution, and driving decisions with long-term consequences.
  • Attracted strong engineers, developed people across career stages and technical leaders, and created clarity when expectations or performance needed to change.
  • Stayed close to critical systems and designs and exercised judgment about when to prototype, simplify, buy, build, or migrate while preserving ownership for engineers leading the work.
  • Understood partner needs and converted repeated patterns into safe, ergonomic, self-service platform capabilities rather than bespoke solutions.
  • Created clarity across team boundaries, surfaced technical or organizational risks early, and enabled engineers through context, delegation, feedback, and coaching.

Responsibilities

  • Set a multi-quarter Data Foundations strategy across the data lake, streaming, distributed compute, governance, and platform reliability, aligning engineers and partner teams around it.
  • Build and develop a high-performing team by attracting engineers, setting expectations, growing technical leaders, and fostering ownership, direct feedback, and accountability.
  • Lead complex initiatives from idea through operation by ensuring technical ownership, de-risking architectures with prototypes, breaking work into shippable milestones, and coordinating execution across engineers and teams.
  • Guide the team in developing durable enterprise-ready foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for each requirement.
  • Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations to make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale.
  • Establish reusable abstractions and paved paths, delegate meaningful ownership, improve technical decision quality, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration.
  • Lead the evolution of the data lake toward an S3 and Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls.
  • Scale Kafka- and Debezium-based streaming infrastructure for real-time product, analytics, and AI use cases.
  • Improve Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency.
  • Design external key management, data residency, and compliant processing capabilities across Notion’s data estate.
  • Create clear platform interfaces and self-service primitives for Data Engineering, Search, AI, and product teams.

About the Company

Notion

Builds a workspace for notes, docs, and AI agents

Notion builds a workspace app where people and teams write notes and documents, plan projects, and keep company wikis, all made from the same flexible blocks. It announced an AI writing assistant built on an OpenAI model in November 2022, two weeks before ChatGPT's launch set off the generative AI boom. A page can mix text, checklists, and databases that turn into task boards or calendars, while AI agents search the workspace and connected apps like Slack and run routine tasks on a schedule. Notion is free for individuals, and teams pay per-member subscriptions plus credits to run custom agents. Notion was founded in 2013, released its app in 2016, and is based in San Francisco.

Company size
501-1,000
Company stage
Private
Total funding
$335M
Headquarters
San Francisco, CA
Founded
2013

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