Hybrid Senior Principal Engineer, Data

at CarMax

• Job title: Senior Principal Engineer, Data
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Java, Microservices, Python, Scala, SQL
• Location requirements: Hybrid, Richmond, United States

About the role

• Senior Principal Engineer at CarMax providing technical leadership in data engineering projects and promoting data analytics capabilities. Partnering with Engineers and Solution Architects for unrivaled data experiences.

Responsibilities

• Given long term strategic goals, can lay out a path across many versions
• Participates in and supports initiatives outside of main area of responsibility
• Provides technical leadership for projects including 3–4 senior level individuals
• Promotes the available data and analytics capabilities and expertise to business unit leaders and educates them in leveraging these capabilities in achieving their business goals
• Work with data governance team members and information stewards and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse
• May be required to present at conferences to demonstrate company’s technical prowess

Requirements

• Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required
• 8+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality]
• Multiple certifications preferred or Master’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required
• 6+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality]
• Expert experience working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies
• Strong/expert experience with multiple advanced analytics tools languages such as [R, Python, Java, C++, Scala, others]
• Strong/expert experience with popular database programming languages including [SQL, PL/SQL, others] on both relational and non-relational databases
• Strong experience with cloud data platforms such as Databricks, Snowflake
• Expert experience in data modeling and ontologies
• Strong experience with microservices to Serve Data
• Strong experience in cloud platforms such as Azure, AWS, GCP
• Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Benefits

• Health insurance
• Professional development opportunities
• Flexible work arrangements