Role overview
Car shopping is complicated. At CarGurus, we use data and technology to make it simple, giving people the tools they need to confidently find, buy, finance, or sell a car. The best part? Our work makes a real impact. We're the most-visited car-shopping site in the US and we are growing fast in our international markets. Ready to come along for the ride?ย
The Data Engineering team at CarGurus is looking for a Manager of Data Platform & Operations Engineering to enable our data platform efforts across the company. You will be responsible for leading the reliability, scalability, and day-to-day operations of our data platform, ensuring trusted and timely data for stakeholders in Product Management, Marketing, Finance, and Engineering.
You will own the platform roadmap across ingestion, orchestration, storage, and observability; set and uphold SLAs, cost, security, and quality controls; and establish operational best practices and runbooks. You will partner closely with our internal customers to prioritize capabilities, resolve incidents, and continuously improve developer experience, while contributing to our enterprise data strategy and governance as we scale our core business.
What you'll do
- Grow and lead a team of data engineers who will support a diverse set of stakeholders across our business and engineering orgsย
- Provide technical leadership to your team to build maintainable data architecturesย
- Design and oversee scalable, cloud-native data architecture supporting batch and real-time pipelinesย
- Develop a vision for CarGurus' data platform, identifying gaps in our people and technology strategies and setting high standards for data qualityย
- Ensure platform scalability, performance, security and cost optimizationย
- Collaborate with Product Management to prioritize initiatives, manage the execution of projects, and implement agile software development practices as needed
- Foster a culture of ownership, collaboration, innovation, and continuous improvement
What you'll bring
- BA or BS Degree in Computer Science, related field, or equivalent experience
- 5+ years of experience in product/business analytics, data engineering, analytics engineering, or related fieldย
- 2+ years of hands-on people management experienceย
- Experience writing code using best practices in a language such as Python, Java, Go, etc.
- Experience working with a cloud data warehouse (e.g., Snowflake, Amazon Redshift, Google BigQuery) and a modern business intelligence platform (e.g., Tableau, Looker, Domo)ย
- Expert level SQL proficiency and deep familiarity with dimensional modeling best practices
- Experience distilling requirements and enabling both technical and non-technical stakeholders to reach their end goals
- You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.