Sr. Data & Analytics Platform Engineer

Carmax; Richmond (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

CarMax, the nation's largest retailer of used cars, is seeking a Data Engineer to build and optimize data pipelines. This role involves ensuring data governance and compliance while collaborating with various teams to enhance data accessibility and operational efficiency. Ideal candidates will have extensive experience with Snowflake, Python, and cloud technologies, and will thrive in a fast-paced, collaborative environment.

Qualifications

• 5+ years with Snowflake Platform engineering experience.
• 3+ years with reporting and visualization tools like Tableau or Power BI.
• Advanced proficiency in Python, SQL, GitHub, Azure DevOps.

Responsibilities

• Design, implement, and maintain role-based access controls in Snowflake.
• Drive self-service capabilities and ongoing automation initiatives.
• Implement Azure cloud capabilities including Data Factories and Batch Accounts.

Skills

Python

SQL

GitHub

Azure DevOps

Bicep templates

PowerShell

Education

Bachelor's in Computer Science or equivalent area

Tools

Snowflake

Databricks

Data Factory

Event Hub

Key Vault

Log Analytics

Job description

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be!

About this job

The bulk of the data engineer’s work would be in building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers (like business/data analysts, data scientists or any persona that needs curated data for operational and analytical data use cases.

Data engineers also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for CarMax’s operational and analytical initiatives

What you will do – Essential Responsibilities

• Design, implement, and maintain role-based access controls (RBAC) in the Enterprise Snowflake Platform

• As a thought leader in Data & Analytics Platforms, evaluate new technologies and features, design and implement them by partnering with architects and end users

• Drive self service capabilities and ongoing automation initiatives

• Design, implement, automate, and maintain Cybersecurity Audit reporting for user access, role permissions, system administration, and operational activities for Data & Analytics platforms

• Partner with Vendors, Customers, and Peer teams to implement intelligent, predictable, reliable, scalable, cost-efficient, and easy-to-use platforms and frameworks for Data Science Machine Learning (DSML), Master Data Management, Data Engineering

• Collaborate with other data teams to proactively identify cost anomalies and savings opportunities

• Evaluate capacity requirements and automate necessary scaling within Azure environment

• Implement Azure cloud capabilities including but not limited to Data Factories, Batch Accounts, storage, Key Vaults, Log Analytics, and automated deployments

• Implement, configure, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance, connectivity, access, and security issues

• Self-directed and able to balance the priorities of multiple teams, systems, and products

• Work collaboratively in teams and develop meaningful relationships to achieve common goals

• Streamline development and operational processes via continuous integration, deployment, automated testing while leveraging Site Reliability Engineering (SRE) principles

• Drive efficient resolution for system outages as well as performance and functional shortcomings. Engage in critical support situations and effectively, efficiently, and quickly drive successful resolution

Purpose of the role

The platform engineer will be a key contributor in evaluating, designing and implementing advanced features along with ensuring reliability, scalability, security of Data & Analytics platforms.

Qualifications and Requirements

Basic Qualifications

• Bachelor's in Computer Science or equivalent area

• 5+ years with Snowflake Platform engineering experience in an enterprise-level environment

• 3+ years experience with reporting and visualization tools such as Tableau or Power BI

• 3+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

• 3+ years developing and maintaining NIST-aligned Cybersecurity audit functionality

• Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep templates, and PowerShell is required.

• 5+ years of DevOps experience with a clear understanding of related tools, structure, and processes working in an Agile/Scrum setting

• Experience in cloud cost-savings plans, reviews, and reserved instances

• Experience in DevOps and SRE practices, testing frameworks, Infrastructure as Code, and building CI/CD pipelines

• Excellent communication skills with the ability to adapt to various audience types

• Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization

• Effective problem-solving, analytical thinking, and a cloud-native and security-first mind set

• Strong documentation, communication, and presentation skills

• Ability to positively influence team norms, culture, and technical vision

Preferred Qualifications

• Experience with cloud services such as Snowflake, Databricks, Data Factory, Event Hub, Functions, Batch, Key Vault, and Log Analytics

• Strong experience with popular database programming languages such as SQL, PL/SQL, Stored Procedures

• Snowflake SnowPro, Azure, Databricks certifications

• Familiarity with microservices software architecture and Machine Learning experience is preferred

• Working knowledge of ETL/ELT, CDC, Message-Oriented data movement, API design and stream data integration. Moderate experience with Big Data

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.

Work Location and Arrangement: This role will be based out of one of the following locations and have a Hybrid work arrangement:
• Dallas, TX Technology Hub
• Richmond, VA Technology Innovation Center

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinkingaround the way cars are bought and soldhas helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Ouramazing team of more than 25,000 associates work together to deliver iconic customer experiences.Along the way,we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and areone of the FORTUNE 100 Best Companies to Work For.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.