Senior Data Governance Engineer

Who we are

At CarGurus (NASDAQ: CARG), 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.

What we do

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 CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—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!

Role overview

The Senior Data Governance Engineer will be responsible for architecting, operationalizing, and optimizing the enterprise data governance framework. This role involves the deployment and configuration of data governance tools, implementation of automated data quality validation workflows, integration of metadata management platforms (e.g., data catalogs, lineage tools), and enforcement of data stewardship policies via role-based access controls and policy engines. You will collaborate closely with data architects, engineers, data analysts, and business teams to maintain high standards of data integrity, security, and accessibility.

What you'll do

• Data Governance Framework: Develop and implement a robust data governance framework aligned with industry best practices and company requirements.
• Data Quality Management: Build tools to automate data quality monitoring and reporting, ensuring that data is accurate, complete, and consistent across the organization.
• Data Stewardship: Act as a key advocate for data stewardship, working with business and technical teams to promote accountability for data quality and management.
• Metadata Management: Build tools to automate metadata management, ensuring the accurate capture and categorization of data assets.
• Compliance & Security: Ensure that data governance policies comply with relevant laws, regulations (e.g., GDPR, CCPA), and industry standards. Promote data privacy best practices and work with legal and compliance teams.
• Data Lineage: Develop and maintain data lineage models to map how data flows through systems, ensuring transparency and traceability. Enhance out of the box lineage tools where necessary.
• Collaboration & Training: Work closely with stakeholders across departments to establish data governance policies, provide training on data standards, and promote awareness of governance tools and practices.
• Continuous Improvement: Continuously assess and enhance the data governance framework to adapt to new business needs, technologies, and regulatory requirements.
• Documentation & Reporting: Create and maintain comprehensive documentation for data governance processes, guidelines, and policies. Provide regular reports on governance activities and data health metrics to leadership.

What you'll bring

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field (or equivalent experience).
• 3+ years of experience in data governance, data management, or a related field.
• Proficiency in Python or similar languages widely used in the data engineering community
• Experience with data quality management tools (e.g., Monte Carlo, Metaplane)
• Familiarity with data governance tools (e.g., Alation, Atlan, data.world, Secoda).
• Knowledge of data privacy regulations (GDPR, CCPA, etc.) and compliance best practices.
• Proficiency in data modeling, data lineage, and data classification and familiarity with Snowflake, dbt and Looker
• Experience with cloud platforms (AWS, Azure, GCP) and data integration tools (Fivetran, data pipelines).
• Strong problem-solving skills and ability to collaborate with cross-functional teams.
• Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
• Attention to detail and a passion for maintaining high-quality data.