Engineering Manager, Data Platform Foundations
Overview:
Applying for this role is straight forward Scroll down and click on Apply to be considered for this position. As Head of Data Foundations, you will shape Notion’s data platform strategy and lead a high-performing team to scale data lake, streaming, and governance capabilities for enterprise-scale use. You’ll drive multi-quarter initiatives across batch and streaming pipelines, privacy, and reliability, partnering with Data Engineering, Search, AI, and Security. This role blends technical leadership with hands-on judgment to deliver durable, self-serve data foundations. You’ll help Notion power data-powered products while maintaining customer trust and cost efficiency. Compensation / Benefitscompetitive cash compensationequitybenefitshybrid work arrangementgrowth opportunitiescollaborative culture
Responsibilities:
- Set multi-quarter strategy for data lake, streaming, governance, and platform reliability and align teams around itBuild and develop a high-performing data foundations team with ownership and accountability
- Lead the most challenging initiatives from idea to operation with clear milestones and cross-team coordination
- Make the data platform enterprise-ready with governance, data residency, access controls, and lifecycle management
- Improve reliability, cost efficiency, and scalability of Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems
- Create reusable abstractions and pave paths to scale by coaching, documentation, tooling, and design reviews
- Establish clear platform interfaces and self-serve primitives for Data Eng, Search, AI, and product teams
Key requirements:
- Designed and operated large-scale batch and streaming systems across storage, compute, ingestion, orchestration, and governance
- Led a xhqgsiq Data Platform or infrastructure team through multi-quarter initiatives with clear strategy and sequencing
- Attracted and developed engineers, built technical leaders, and clarified expectations during changes
- Strong engineering judgment to prototype, simplify, buy/build, or migrate while maintaining ownership
- Team-building and talent development
- Organizational influence and stakeholder management
- Strong communication and coaching
- Data lake / lakehouse design (S3 + Iceberg)
- Streaming and batch data platforms
- Kafka and Debezium