Data Engineer, Go-To-Market

Requirements

• In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work.
• ABOUT THE ROLE: As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines to support our go-to-market strategies.
• requirements but can gracefully scale with our growing data size. - You’ll help democratize access to high quality data across go-to-market teams, Staff, and the entire company.
• experience working with both Marketing and Sales datasets at a SaaS company, and have built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc. - You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs - You have hands-on
• experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas) - You are a SQL expert.
• You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries - You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala) - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - You have hands-on
• experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc) - You have worked with Go-To-Market stakeholders in the past.

Experience

• SKILLS YOU'LL NEED TO BRING: - You've spent 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes.

Benefits