Data Engineer, Go-To-Market

Data Engineer, Go-To-Market ABOUT US: Notion helps you build beautiful tools for your life’s work. 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. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. 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. You'll be at the forefront of integrating our product and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team. WHAT YOU'LL ACHIEVE: - You'll build core datasets to serve as the sources of truth for Notion’s marketing and sales reporting, integrating data to and from business systems data and Notion’s product. - You’ll partner closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs. - You'll design, build and monitor pipelines that meet today's 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. 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. You are passionate about analytics use cases, data models and solving complex data problems. - You have 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. - You’ve worked at a fast-growing company or are eager to contribute in such an environment (being a current Notion user would also be great!) We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage ... (truncated, view full listing at source)