Senior Engineering Manager, Database - MAX Digital

ACV Auctions - Chicago, IL

Full-time - Senior

Chicago, IL

Merchant Wholesalers, Durable Goods

About the position

ACV Auctions Inc. (ACV) is seeking a Senior Engineering Manager for our Data Engineering department. This role is pivotal in the design, development, optimization, and maintenance of our data platforms, including SQL Server and MongoDB. As a leader in this position, you will guide an engineering team to deliver high-quality, robust, and scalable solutions that empower our customers to manage and analyze their data effectively. You will actively support efforts to simplify and enhance the customer experience, ensuring that our data architecture aligns with product goals and engineering standards. In this role, you will lead the architectural design and technical decision-making process for SQL Server components, design and implement complex features and enhancements, and collaborate with product managers, designers, and other engineers to define requirements. You will also manage and grow a team of experienced data engineers, mentor junior engineers, and evaluate SQL and MongoDB environments to evolve our data architecture. Your responsibilities will include leveraging monitoring tools to ensure high performance and availability, ensuring new development meets company standards, and collaborating with internal teams on schema designs. The ideal candidate will have a strong background in data engineering, operational DBA experience, and a proven track record of managing engineering teams. You will be expected to architect and build entire services, including data modeling, storage, and protocols, while performing additional duties as assigned. This position offers a unique opportunity to be part of a company that is transforming the automotive industry through innovative technology and a commitment to a people-first culture.

Responsibilities

• Lead the architectural design and technical decision-making process for SQL Server components.
• Design, develop, and implement complex features and enhancements within SQL Server and MongoDB.
• Collaborate with product managers, designers, and other engineers to define requirements and translate them into technical specifications.
• Manage and grow a team of experienced data engineers responsible for maintaining existing data platforms and developing new data products.
• Evaluate, hire, and onboard candidates based on organizational need, technical skill set, and cultural fit.
• Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices.
• Evaluate SQL and MongoDB environments and produce/execute plans to evolve the data architecture/infrastructure.
• Leverage monitoring tools to ensure high performance and availability; work with operations and engineering to improve as required.
• Ensure that new development meets company standards for readability, reliability, and performance.
• Collaborate with software and DevOps engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products.
• Architect and build entire services, including data modeling, storage, message brokers, protocols, and interfaces.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related field(s) preferred.
• 6-8 years' relevant professional experience in Data Engineering supporting/building the database-tier of data-driven SaaS applications.
• 2 years' Operational DBA experience (dedicated or hybrid role).
• 3-5 years' managing a team of engineers.
• Ability to read, write, speak and understand English.
• Strong professional experience in relational database modeling and experience building high performance data-driven transactional applications.
• Strong experience analyzing SQL queries for performance bottlenecks and optimizing queries with a structured approach.
• Robust SQL and data-layer development experience; OLTP schema design.
• Expert understanding of SQL query execution fundamentals and query optimization principles.
• Experience maintaining and extending an existing codebase, adapting to pre-existing patterns and tracing the code's path of execution.
• Experience implementing ETL workflows (SSIS, Airflow, C#, Python).
• Experience using and integrating with cloud services, specifically: AWS RDS, S3, SQS, SNS.
• Experience integrating SQL & NoSQL (MongoDB) data stores.

Nice-to-haves

• OLAP schema design experience.
• Experience developing unit- and integration-tests using DBT or similar.

Benefits

• Multiple medical plans including a high deductible health plan that costs $0 out of your paycheck.
• Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance.
• Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance.
• Generous paid time off options, including vacation time, sick days, Company holidays, floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation.
• Employee Stock Purchase Program with additional opportunities to earn stock in the Company.
• Retirement planning through the Company's 401(k).