Software Engineer, Enterprise Data Platform

Notion-posted 3 months ago
$230,000 - $300,000/Yr
San Francisco, CA
Professional, Scientific, and Technical Services
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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.

  • 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.
  • 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.
  • 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.
  • Highly competitive cash compensation.
  • Equity.
  • Benefits.
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