Careers

ACV’s mission is to build and enable the most trusted and efficient digital marketplaces for buying and selling used vehicles with transparency and comprehensive data that was previously unimaginable. We are powered by a combination of the world’s best people and the industry’s best technology. MAX Digital is ACV’s Retail car dealer software platform providing inventory management, digital marketing, mobile applications, and other software solutions for the $350 billion U.S retail car industry. We are driven by an entrepreneurial spirit and rewarded with a work environment that enables each teammate to impact the company from day one. ACV’s network of brands includes ACV Auctions, ACV Transportation, MAX Digital and ACV Capital within its Marketplace Products as well as True360 and Data Services.

In this technical leadership role for ACV Retail, you will architect and deliver robust data pipelines, warehouses, and lakes that enable advanced analytics, machine learning, and business intelligence at scale. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem. You will collaborate with cross-functional teams to deliver high-quality, robust, and scalable solutions that empower our customers to manage and analyze their data effectively. You will have deep expertise in designing, building, and optimizing modern, scalable data platforms on AWS, MS SQL Server and MongoDB. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem.

Our goal is evaluate, plan, and execute the evolution of our legacy data architecture to a more modern approach, allowing deprecation of legacy applications and empowering our new SaaS solutions.

Key Responsibilities:

• Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, real-time streaming pipelines, and ETL/ELT processes.
• Define the vision and roadmap for scalable, reliable, and secure data infrastructure that aligns with business goals. Experience in architecting, developing software, and internet scale production-grade big data solutions in virtualized environments considering performance, scalability, security and costs
• Very strong data engineering experience working with AWS Tech Stack with a focus on building complex self healing data engineering pipelines, cloud delta lakes and migrating legacy technology stack to the Cloud
• Extensive experience with reverse engineering legacy stored procedures into data pipelines built using AWS Glue would be an added advantage
• Lead the design of data models, storage solutions, and access patterns that support analytical and operational workloads. Deep understanding of data modeling in Postgres db environments. Ability to reverse engineer legacy data models and redesign with foundational architectural principles including normalization, cardinality and ACID into Postgres databases like Aurora is critical.
• This role requires deep technical expertise, strong communication skills, and the ability to lead complex initiatives across multiple teams. Experience working on multiple projects simultaneously while troubleshooting technical issues and working with cross-functional stakeholders while communicating effectively to influence external engineering teams, product development teams, Business stakeholders and external partners.
• Act as a trusted advisor to stakeholders, bridging business needs with technical execution, and ensuring best practices in cloud architecture, security, and cost optimization. Work closely with our application architects, data scientists and data engineering teams to develop, enhance and define new data integrations and BI solutions.
• Mentor and guide engineering teams in implementing AWS services effectively and efficiently. Stay current with AWS service offerings and emerging cloud technologies, and recommend adoption where appropriate.
• Optimize AWS workloads for performance, scalability and cost efficiency, leveraging tools like Trusted Advisor, Well-Architected Framework, and Cost Explorer.
• Deep experience with services such as:
  • Storage & Compute: S3, EMR, Glue, Redshift, Athena, Lambda, EC2, EKS
  • Streaming & Messaging: Kinesis, Kafka, MSK, SNS/SQS
  • Orchestration & Workflow: Step Functions, Airflow, Data Pipeline
  • Databases: Aurora Postgres, MongoDB, MS SQL Server
• Mentor and coach junior engineers, fostering a culture of technical excellence and continuous improvement to mature Data Engineering practices enterprise wide. Deliver TechTalks and training sessions on a regular basis.
• Previous experience in the Auto Industry would be a significant added advantage

Qualifications:

• At least 10 or more years of experience working in the data engineering field as a Senior or Staff Data Engineer with at least 5 years designing and implementing solutions on AWS
• Solid understanding of SaaS, distributed systems, scalability, and high availability concepts.
• Previous experience mentoring junior data engineers, providing technical expertise, code reviews, and sharing best practices to foster professional growth.
• Excellent problem-solving skills and the ability to navigate complex technical challenges.
• Strong communication skills and the ability to collaborate effectively in cross-functional teams.
• Experience with hybrid cloud and multi-cloud strategies
• Familiarity with other cloud platforms (Azure, GCP)
• Hands-on coding/scripting in Python, Bash, or similar
• Experience with cost modeling and FinOps
• Contributions to AWS Well-Architected Reviews or similar assessments

Key Competencies:

• Strategic mindset with a strong business acumen
• Ability to balance short-term needs with long-term vision
• Problem-solving and analytical skills
• Collaborative leadership and influence without authority
• Continuous learner who stays ahead of cloud trends

Benefits:

• Ability to work in a remote or hybrid environment.
• Comprehensive benefits offerings for benefits eligible Teammates.
• Unlimited PTO and vesting stock (RSUs).
• Unique culture that truly values each and every Teammate.
• Career development and Future Growth Opportunities.
• Learning & Development Opportunities!
  • We love to see our engineers grow and learn and have invested heavily in our internal Learning and Development program, which provides access to PluralSight, Frontend Masters, as well as in-person conferences.
• Annual Hackathons with some amazing prizes!
• Career development and future growth opportunities

Compensation: $145,000.00 - $190,000.00 CAD annually. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law. #LI-AM1

No immigration or work visa sponsorship will be provided for this position. #LI-AM1