Analytics Engineer Lead

We’re seeking a hands-on Analytics Engineering Lead to head our data infrastructure and modeling efforts. In this role you will manage a small team while also contributing directly as an individual contributor. You’ll collaborate closely with our analytics, data science, and ML teams to deliver high-quality, reliable data to the whole company.

We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.

• Manage a small team of data engineers
• Expert knowledge of dbt, including experience building complex transformations, implementing testing frameworks, and optimizing dbt workflows for performance and reliability
• Act as a hands-on IC Analytics Engineer, building models and pipelines to serve the Data Org’s needs. 
• Collaborate with Analytics, Data Science, and ML teams to understand needs and priorities. Own the team’s roadmap. 
• Establish best practices for data modeling, testing, QA, and documentation
• Evaluate and implement new tools and technologies across the data stack

• 5+ years of experience in data engineering or analytics engineering
• Experience with BI tools like Looker, Omni, or similar
• Strong grasp of data warehouse concepts (Snowflake experience is a plus)
• Track record of working closely with analytics teams and understanding business metrics
• Excellent communication and leadership skills

• Experience managing data/analytics engineering teams
• Experience supporting ML teams or ML infrastructure
• Proficiency in Python
• Familiarity with AWS and cloud platforms
• Understanding of data governance and compliance