Manager, Data Platform Engineering
Listed on 2026-07-19
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IT/Tech
Data Engineering, Data Science Manager, Data Analyst
Manager, Data Platform Engineering
At Car Gurus, our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years.
The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit each month, and ~30,000 dealerships use our products. But they're not the only ones who love Car Gurus—our employees do, too.
We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride!
Car shopping is complicated. At Car Gurus, 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?
The Data Engineering team at Car Gurus 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 orgs
- Provide technical leadership to your team to build maintainable data architectures
- Design and oversee scalable, cloud-native data architecture supporting batch and real-time pipelines
- Develop a vision for Car Gurus' data platform, identifying gaps in our people and technology strategies and setting high standards for data quality
- Ensure platform scalability, performance, security and cost optimization
- 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 field
- 2+ years of hands-on people management experience
- 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 Big Query) and a modern business intelligence platform (e.g., Tableau, Looker, Domo)
- 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.
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