The opportunity
Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes.
What you'll do
Define ETL processes and infrastructure to make data readily available across the company
Build core datasets as single sources of truth for product and business teams: (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
Partner with data scientists and stakeholders to understand their needs and: design, build, and monitor pipelines that scale with our growing data
Implement automated workflows that reduce operational costs, define SLAs for: timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
Self-starter who gathers high-impact needs from business partners, designs: technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
+ years of experience as a data engineer building core datasets and: supporting business functions, with a passion for analytics, data modeling, and solving complex problems
What they're looking for
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure): across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas)
- SQL expert, proficient with aggregation, window functions, UDFs, self-joins,: and optimization techniques for writing correct, high-performance queries
- Highly comfortable with object-oriented programming (Python, Java, Scala)
- Expert at using AI and agent-based tools to accelerate data development for: yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work