Engineering Manager for Data Platforms
6 days ago
We are seeking a highly skilled Senior Database Engineering Manager to lead our database engineering team at ACV Auctions. As a key member of our engineering organization, you will be responsible for designing, developing, and implementing complex features and enhancements within our SQL Server and MongoDB data platforms.
Key Responsibilities- Technical Leadership: Provide technical guidance and leadership to the database engineering team, ensuring alignment with product goals and engineering standards.
- Database Architecture: Design and implement scalable and high-performance database architectures, considering performance, scalability, and security aspects.
- Team Management: 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.
- Collaboration: Collaborate with product managers, designers, and other engineers to define requirements and translate them into technical specifications.
- Problem-Solving: Evaluate and resolve complex technical issues, ensuring high performance and availability of our data platforms.
- Knowledge Sharing: Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices to foster professional growth.
- Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or related field(s) preferred.
- Experience: 6-8 years' relevant professional experience in Data Engineering supporting/building the database-tier of data-driven SaaS applications, including 2 years' Operational DBA experience and 3-5 years' managing a team of engineers.
- Skills: Strong professional experience in relational database modeling, SQL query optimization, and experience building high-performance data-driven transactional applications.
- Cloud Experience: Experience using and integrating with cloud services, specifically: AWS RDS, S3, SQS, SNS.
- Language Skills: Ability to read, write, speak, and understand English.
- OLAP Schema Design Experience: Experience designing OLAP schemas.
- ETL Workflow Experience: Experience implementing ETL workflows using tools like SSIS, Airflow, C#, or Python.
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