Software Engineer, Data Platform

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 feels 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, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.

Join Notion’s Data Platform team as we build out the data infrastructure for Notion's next phase of large enterprise customers and novel agentic data use cases. You’ll help design and build the core data platform that powers Notion’s AI, analytics, and search while meeting stringent security, privacy, and compliance requirements. This role focuses on the data platform layer (storage, compute, pipelines, governance) and partners closely with Infrastructure, Security, Search Platform, AI, and Data Engineering.

• Design and evolve the data lakehouse

  Build and operate core lakehouse components (e.g., Iceberg/Hudi/Delta tables, catalogs, schema management) that serve as the source of truth for analytics, AI, and search.

• Own critical data pipelines and services

  Design, implement, and harden batch and streaming pipelines (Spark, Kafka, etc.) that move and transform data reliably across regions.

• Advance EKM and encryption-by-design

  Work with Security and platform teams to integrate Enterprise Key Management (EKM) into data workflows, including file- and record-level encryption and safe key handling in Spark and storage systems.

• Improve data access, auditability, and residency

  Build primitives for fine-grained access control, auditing, and data residency so customers can see who accessed what, where, and under which guarantees.

• Drive reliability and observability

  Raise the operational bar for our data stack: improve on-call experience, debugging, and alerting for data jobs and services.

• Optimize large-scale performance and cost

  Tackle performance and cost challenges across Kafka, Spark, and storage for very large workspaces (20k+ users, multi-cell deployments)

• Shape the platform roadmap

  Empower product and infrastructure engineering teams reliable, scalable data infrastructure to enable novel large volume, agentic use cases.

• Experience: 2+ years building and operating data platforms or large-scale infrastructure for SaaS or similar environments.

• Programming: Strong skills in at least one of Python, Scala, or Typescript; comfortable working with SQL for analytics and data modeling.

• Distributed data systems: Hands-on experience with Spark or similar distributed processing systems, including debugging and performance tuning.

• Streaming & ingestion: Experience with Kafka or equivalent streaming systems; familiarity with CDC/ingestion patterns (e.g., Debezium, Fivetran, custom connectors).

• Lakehouse / storage: Experience with data lakes and table formats (Iceberg, Hudi, or Delta) and/or data catalogs and schema evolution.

• Operations: Comfortable owning services and pipelines in production, including on-call, incident response, and reliability improvements.

• Experience working in an applied data platform setting, such as Trust and Safety, and/or directly with enterprise customers or on features like data residency, analytics product, EKM, or compliance-driven auditing.

• Security & governance: Practical understanding of access control, encryption at rest/in transit, and auditing as they apply to data platforms. Prior work on Databricks, Unity Catalog, Lake Formation, or similar catalog/governance systems.

• Experience designing or improving observability for data platforms (e.g., Honeycomb, OpenTelemetry, metrics/trace-heavy debugging).

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $196,000 - 275,000 per year.

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You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.

We hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.

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.