Database Developer, MAX Digital

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed.

We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

Who we are:

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user‑designed, data‑driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable.

We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, Clear Car, MAX Digital and ACV Capital within its Marketplace Products, as well as, True
360 and Data Services.

At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer:

• Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability.
• Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D.
• All insurance benefits go into effect on your date of hire.
• Generous Parental Leave Top-Up Pay and Vacation Programs.
• Employee Stock Purchase Program with additional opportunities to earn stock in the company.
• Retirement planning through the Company’s RRSP.

ACV Auctions is looking for a Staff Engineer, Database to join our ACV MAX Engineering team and lead the evolution of the data platform behind our SaaS product, MAX Digital. This role will focus on the design, optimization, and modernization of transactional and analytical data systems, including SQL Server–based platforms, synchronization workflows, and cross‑system data integration patterns.

The ideal candidate has a strong track record of technical leadership in complex data environments, with deep expertise in SQL Server, data modeling, performance tuning, and scalable platform design. They should also bring experience modernizing legacy data architectures and defining practical approaches for data pipelines, orchestration, and system integration while preserving the reliability of business‑critical systems.

• Lead the architectural design and technical decision‑making process for core data platform components, including SQL Server systems, data models, synchronization patterns, and cross‑system data workflows, ensuring alignment with product goals and engineering standards.
• Design, develop, and implement complex features and enhancements within SQL Server and Mongo
  
  DB, considering performance, scalability, and security aspects.
• Collaborate with product managers, designers, and other engineers to define requirements and translate them into technical specifications.
• Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices to foster professional growth.
• Evaluate SQL and Mongo
  
  DB environments and produce/execute plans to evolve the data architecture/infrastructure of our platform, ensuring that development engineers can work easily and effectively.
• Lead the evaluation and modernization of legacy ETL‑style, batch, and synchronization workflows that support core business operations.
• Define scalable approaches for data pipeline architecture and orchestration that improve observability, supportability, recoverability, and operational resilience.
• Partner with application, product, and analytics teams to improve how transactional systems, analytical systems, and downstream integrations exchange data, reducing reliance on tightly coupled legacy database‑driven workflows where appropriate.
• Standardize patterns for data synchronization,…