Careers

Who we are looking for:

We are seeking a highly motivated and experienced Data Infrastructure Manager to lead and oversee the design, development, and maintenance of our company’s data infrastructure. The Data Infrastructure Manager will be responsible for ensuring the scalability, reliability, security, and performance of our data platforms, supporting the needs of our growing data science, analytics, and engineering teams. This role requires a strong technical background, proven leadership abilities, and an understanding of modern data architectures.

What you will do:

• Strategy & Architecture
  • Define and execute the data infrastructure strategy, aligning it with the overall business goals and technology roadmap. Evaluate and recommend new technologies and architectures to improve performance, scalability, and efficiency.
  • Translate product requirements into engineering work for your team, reaching out others for assistance, providing work estimates/timelines.
  • Work with product partners to ensure that work is scoped, prioritized, and assigned appropriately to integrate solutions into ACV to meet business objectives and schedules.
  • Guide and participate in architecture discussions and system designs.
• Team Leadership
  • Manage and mentor a global team of Data Infrastructure Engineers. Provide technical guidance, performance feedback, and career development opportunities.
  • Grow your team’s knowledge of their domain and of the technical expertise required to support the ACV Auctions business.
  • Evaluate, hire, and on-board engineers based on organizational need, technical skill set and cultural fit.
  • Use your strong foundation as a technical leader to reliably deliver on complex projects while keeping the bar high.
• Platform Management: Oversee the day-to-day operations and maintenance of our data platforms, including kafka, data warehouses, data lakes, ETL pipelines, and related infrastructure.
• Scalability & Performance: Proactively identify and address performance bottlenecks and scalability challenges. Implement solutions to optimize data processing and storage.
• Security & Compliance: Ensure data security and compliance with relevant regulations (e.g., GDPR, CCPA). Implement and maintain security best practices across the data infrastructure.
• Automation & Monitoring: Drive automation of infrastructure provisioning, deployment, and monitoring. Establish robust monitoring and alerting systems to ensure proactive issue resolution.
• Collaboration: Partner closely with Data Science, Analytics, Engineering, Data Engineering,and Security teams to understand their needs and provide solutions that enable their success.
• Budget Management: Manage the data infrastructure budget effectively, ensuring efficient allocation of resources.
• Vendor Management: Evaluate and manage relationships with data infrastructure vendors.
• Perform additional duties as assigned.

What you will need:

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience)
• Ability to read, write, speak and understand English
• 7+ years of experience in data infrastructure engineering, data architecture, or related roles.
• 3+ years’ experience in an engineering leadership or management role
• Proven track record of building and managing scalable and reliable data platforms.
• Experience architecting, developing, and delivering software products
• Deep experience with product lifecycle management and improving software products through metrics and experimentation
• Deep understanding and use of Agile practices
• Prior experience working large multi-faceted data sets
• Prior experience working in a cloud-native environment such as AWS or Google cloud
• Preferred hands-on expertise with python, RDBMS systems, REST APIs, and Jira/Confluence
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
• Excellent communication, interpersonal, and leadership skills.
• Ability to think strategically and translate business requirements into technical solutions.

Nice to Have

• Experience with Infrastructure-as-Code tools (e.g., Terraform, CloudFormation.
• Experience with containerization technologies (e.g., Docker, Kubernetes) #LI-AM1