Manager, Data Platform Engineering

- 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 CarGurus' 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

- 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

- 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)

- 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.