Overview
Intuit Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaigns, CRM, and analytics tools.
The Data Platform team at Mailchimp is responsible for creating and managing our BI platform that enables peeps from across the company to make better decisions with data. What that actually looks like is working with folks from across the company to understand their needs and then surface data in a meaningful way, across tools and teams, to help them drive the business forward. Day to day you'll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.
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Intuit Mailchimp is a hybrid workplace, giving employees the opportunity to collaborate in person with team members in our Atlanta and Brooklyn offices two or more days per week.
What you'll bring
- Built large scale data solutions in GCP or AWS
- Experience with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
- Experience with ETL orchestration tools like Apache Airflow and Google Dataflow
- Experience with streaming systems like Debezium
- Strong technical accomplishments in SQL and data analysis skills
- Experience with data transformation tools like dbt or Dataform
- Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp
- Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
- Strong business intuition and ability to understand complex business systems
How you will lead
- Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
- Build robust batch and streaming pipelines to send data to and from a variety of data sources (internal and third party) and our data warehouse
- Build scalable transformation pipelines that enables teams to easily clean up, normalize, and govern data for broad consumption
- Build tools and processes to help make the right data accessible to the right people
- Become a subject matter expert on the various datasets and tools we have at Mailchimp
- Work with Data Stewards to better document our data