Software Engineer, Enterprise Data Platform

Notion•San Francisco, CA

39d•$230,000 - $300,000•Onsite

About The Position

Join Notion's Data Platform team as we scale to serve enterprise customers and support our ambitious upmarket strategy. You'll be instrumental in building the data infrastructure that enables Fortune 500 companies to manage their knowledge at scale while meeting stringent security and compliance requirements. This role focuses on the data platform aspects of enterprise initiatives while collaborating with our Security team on specialized security requirements.

Requirements

5+ years of experience building data platforms for enterprise SaaS applications
Strong programming skills in at least one of Python, Java, Scala or Typescript. SQL experience a plus
Experience with modern data processing frameworks and distributed systems
Knowledge of data catalog systems and metadata management
Understanding of data governance principles as they apply to platform architecture
Experience with data quality monitoring and management systems
Familiarity with enterprise compliance requirements relevant to data platforms
Knowledge of data integration patterns for connecting to enterprise environments
Experience with cloud infrastructure (AWS, GCP, or Azure)
Proficiency with databases (PostgreSQL, Redis, DynamoDB) and data pipeline technologies

Nice To Haves

Experience working with enterprise customers in SaaS environments
Familiarity with data residency requirements across global regions
Background in implementing data access controls and permission systems
Knowledge of enterprise collaboration tools and knowledge management systems
Experience designing systems that support audit compliance needs
Familiarity with AI/ML infrastructure and vector databases

Responsibilities

Design Data Integration Pipelines: Create scalable systems that connect Notion with enterprise environments while maintaining strict privacy standards
Build Metadata Management Systems: Develop and maintain data catalog solutions that support enterprise data governance requirements
Implement Data Quality Monitoring: Ensure reliability of enterprise data assets through robust monitoring and validation systems
Create Data Lifecycle Frameworks: Design systems that align with enterprise retention policies and compliance requirements
Support EKM Integration: Develop data platform components that integrate with Enterprise Key Management (EKM) systems while working with our Security team
Enable Data Residency Controls: Build systems that properly handle data residency requirements for global enterprise customers
Implement Audit Trail Systems: Create data platform features that generate comprehensive audit trails required for enterprise compliance
Optimize Enterprise Performance: Tackle complex performance challenges for large-scale data operations, ensuring fast & responsive load times for workspaces with 20k+ users
Support AI & Knowledge Management: Build data infrastructure that powers Notion AI for enterprise use cases, including enterprise search and intelligent content discovery

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