The Business Intelligence Infrastructure product group is responsible for making HubSpot smarter by enabling a deeper understanding of its customers. They're not a centralized reporting-only team; instead, they're a team of engineers who partner with our business leaders to understand the nuances of the data and HubSpot systems. They provide access to the data HubSpot needs to manage our business intelligently. They tackle HubSpot’s most complex data challenges, manage our BI data infrastructure, and provide support to each other and to a network of business analysts throughout the company. You will get to work in a best-in-class tech stack that includes Airflow, Snowflake, dbt, and Looker.

This role sits within our Data Platform Pillar, on our Data Infrastructure Operations team. The team has two primary missions 1) Improving the performance of Looker and Snowflake assets through targeted consultation and automation and 2) Integrating, configuring, and administering 3rd party tools within our data infrastructure. They’re also tasked with supporting internal analytics teams who build on top of our data infrastructure, and partnering with the software engineers on the Data Platform Pillar who are building the 1st party systems within that infrastructure.

We’re looking for individuals that:

• Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
• Highly proficient in SQL, with a focus on data warehousing best practices.
• Have a passion for solving problems at scale through automation.
• Have a high empathy for our internal customers and the problems they are solving.
• Can triage bugs and questions in our own codebase. Most of our backend codebase is in Java, but we also have elements written in Python.
• Understand the value of building a diverse team, and are champions and upstanders for Diversity, Inclusion, and Belonging initiatives.
• Bring industry best practices to help us improve our existing data infrastructure, and continue to scale it with the growth of the business.
• Are committed to data quality, security, and privacy.

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