Software Engineer (Enterprise Data Platform)
- 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,
- (Desirable) Experience working with enterprise customers in SaaS environments,
- (Desirable) Familiarity with data residency requirements across global regions,
- (Desirable) Background in implementing data access controls and permission systems,
- (Desirable) Knowledge of enterprise collaboration tools and knowledge management systems,
- (Desirable) Experience designing systems that support audit compliance needs,
- (Desirable) Familiarity with AI/ML infrastructure and vector databases
- What the job involves
- 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
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