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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. This role is 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. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security.

Responsibilities

Set the direction for Data Foundations, turning ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability, and aligning engineers and partner teams around it.
Build and develop a high-performing team by attracting strong engineers, setting clear expectations, growing technical leaders, and creating an environment of ownership, direct feedback, and accountability.
Lead the team’s hardest initiatives from idea to operation, ensuring complex work has strong technical ownership, de-risking architectures through prototypes, breaking work into shippable milestones, and coordinating execution across engineers and teams.
Make Notion’s data platform enterprise-ready by guiding 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 by identifying systemic risks and architectural gaps, establishing clear service ownership, and leading migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale.
Multiply the engineering organization by establishing reusable abstractions and paved paths, delegating meaningful ownership, raising the quality of technical decisions, and scaling expertise through coaching, documentation, tooling, design reviews, and direct collaboration.

Requirements

Deep data-platform expertise: 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: 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: 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: stays close to critical systems and designs and knows when to prototype, simplify, buy, build, or migrate; can go deep while preserving ownership for the engineers leading the work.
Platform-product thinking: understands the needs behind partner requests and turns repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions.
Organizational influence: creates clarity across team boundaries, surfaces uncomfortable technical or organizational risks early, and helps engineers do their best work through strong context, delegation, feedback, and coaching.
Intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work.

Skills

Data lake (S3 + Iceberg)
Kafka
Debezium
Spark
EMR
Athena
EKM
Data residency
Schema evolution
Lifecycle controls
Distributed compute
Governance
Platform reliability
AI

Location

San Francisco
New York City

Work Type

Onsite (Anchor Days: Mondays, Tuesdays, Thursdays)

Experience Level

Technical Leader

Salary/Compensations

$281,000 - $334,000 per year (for San Francisco based roles)

About the Company

Notion is the collaborative AI workspace where teams and agents think together.
We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented.
Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life.
We care about craft, building things that last, and the belief that great work is still fundamentally human.
Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era.
From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

Equal Opportunity

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply.
Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic.
Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records.
Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer.
We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.
Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If you need assistance or an accommodation due to a disability, please let your recruiter know.