Sr. Manager, Data Platform Engineering

At Vimeo, our mission is to help businesses drive impact through video. With a vibrant community of video professionals and the vast volume of video consumption and uploads on our platform, data plays a crucial role in our success. Vimeo supports about 200 million registered video creators, billions of monthly video views, and hundreds of millions of monthly active users. We seek a talented Data Platform Engineer to enhance the reliability of our data platforms and pipelines, which process billions of events and terabytes of data daily.

As a Sr. Manager Data Platform Engineer at Vimeo, you will be a critical leader in shaping and guiding our data platform strategy. You will collaborate closely with various data engineering teams to ensure our data platforms' reliability, performance, and scalability. Your work will drive our incident management processes, conduct post-mortem analyses, and implement preventive measures to avoid recurrence. If you are passionate about data reliability, scalability, automation, and leadership, this is an exciting opportunity to make a significant impact.

Key Responsibilities:

• Strategic Leadership: Provide leadership and direction to a team of data engineers, fostering a culture of collaboration, continuous improvement, and technical excellence.
• Team Development: Mentor and develop team members, promoting career growth and ensuring the team has the skills and tools necessary to succeed.
• Cross-Functional Collaboration: Partner with engineering, product, and business teams to align data platform strategies with overall business objectives.
• Stakeholder Management: Act as the primary point of contact for data platform-related initiatives, effectively communicating with stakeholders at all levels of the organization.
• Collaborative Improvement: Work with engineering teams to enhance, maintain, performance-tune, and capacity plan for Vimeo’s data platforms and infrastructure.
• Business Continuity: Design and implement business continuity and disaster recovery plans in collaboration with engineering teams.
• Incident Management: Lead the incident management process for our data platforms, including conducting post-mortems, root cause analyses, and implementing preventative measures.
• Change & Release Management: Drive and standardize the change and release management process, promoting best practices across engineering teams to ensure legal compliance.
• Intelligent Monitoring: Develop and maintain intelligent monitoring systems over data pipelines and infrastructure to enable early and automated anomaly detection.
• Automation & Testing: Collaborate with software developers to build an end-to-end automated testing framework and a system-level testing environment.
• On-call Rotation: Participate in an on-call rotation to provide round-the-clock support for critical incidents.

Leadership Responsibilities:

• Vision & Strategy: Develop and communicate a clear vision for Vimeo's data platforms' future, aligning the team’s efforts with business goals.
• Resource Management: Manage resources effectively, ensuring the right talent and tools are in place to meet project and operational demands.
• Performance Management: Set clear expectations for the team, regularly reviewing progress and providing feedback to ensure high standards are met.
• Innovation & Improvement: Foster an innovation environment by encouraging the team to explore new technologies and approaches to enhance the data platform.
• Risk Management: Identify potential risks to the data platform’s reliability and performance and proactively develop strategies to mitigate these risks.

Qualifications:

• Leadership Experience: Proven experience in leading and managing engineering teams, with a track record of driving successful projects and initiatives.
• Stakeholder Communication: Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
• Strategic Thinking: Ability to think strategically about platform architecture and how it aligns with broader business objectives.
• Distributed Data Stores: Production experience with distributed data stores (e.g., HBase, Zookeeper, Kafka) and the ability to own, manage, monitor, and optimize the reliability and health of development and production environments.
• Problem-Solving & Ownership: