CarGurus is looking to architect, operationalize, and optimize its enterprise data governance framework to ensure data integrity, security, and accessibility as they move the entire automotive journey online.
Requirements
- 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
Responsibilities
- Develop and implement a robust data governance framework aligned with industry best practices and company requirements.
- Build tools and/or APIs to automate data quality monitoring and reporting, ensuring that data is accurate, complete, and consistent across the organization.
- Build tools and/or APIs to automate metadata management, ensuring the accurate capture and categorization of data assets.
- Ensure that data governance policies comply with relevant laws, regulations (e.g., GDPR, CCPA), and industry standards.
- Develop and maintain data lineage models or build tools to automatically map how data flows through systems, ensuring transparency and traceability.
- Continuously assess and enhance the data governance framework to adapt to new business needs, technologies, and regulatory requirements.
- Create and maintain comprehensive documentation for data governance processes, guidelines, and policies.
Other
- Act as a key advocate for data stewardship, working with business and technical teams to promote accountability for data quality and management.
- Work closely with stakeholders across departments to establish data governance policies, provide training on data standards, and promote awareness of governance tools and practices.
- 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.
