Sr. Engineering Manager, Database - MAX Digital

ACV Auctions
Indiana, US
Full-time

What you will do :

  • Actively and consistently support all efforts to simplify and enhance the customer experience.
  • Lead the architectural design and technical decision-making process for SQL Server components, ensuring alignment with product goals and engineering standards.
  • Design, develop, and implement complex features and enhancements within SQL Server and MongoDB, considering performance, scalability, and security aspects.
  • 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, developing new data products, and modernizing our data stack for the future.
  • Evaluate, hire, and on-board candidates based on organizational need, technical skill set, and cultural fit.
  • Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices to foster professional growth.
  • Evaluate SQL and MongoDB environments and produce / execute plans to evolve the data architecture / infrastructure of our platform, ensuring that engineers can work easily and effectively.
  • 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.
  • Work with internal teams on transactional and analytical schema designs.
  • 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 but not limited to : data modeling, storage, message brokers, protocols and interfaces.
  • Perform additional duties as assigned.

What you will need :

  • 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 Have

  • OLAP schema design experience.
  • Experience developing unit- and integration-tests using DBT or similar.#LI-AM3

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

Our Values

Trust & Transparency People First Positive Experiences Calm Persistence Never Settling

15 days ago
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