Sr. Manager, Data Platform Engineering @ Vimeo | Jobright.ai
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Vimeo · 3 hours ago

Sr. Manager, Data Platform Engineering

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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.
• 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Distributed Data StoresCloud ProficiencyReliability EngineeringLeadership ExperienceContainer OrchestrationProgrammingConfig ManagementCI/CD & Source ControlProblem-Solving & OwnershipProduction SupportChange Data Capture

Required

Proven experience in leading and managing engineering teams, with a track record of driving successful projects and initiatives.
Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Ability to think strategically about platform architecture and how it aligns with broader business objectives.
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.
Strong problem-solving skills and a strong sense of ownership and drive.
4+ years of experience in a Linux environment, with proficiency in cloud platforms (AWS, GCP).
Experience with container orchestration platforms, particularly Kubernetes, for managing and deploying data processing and analysis applications.
Proficiency in one or more programming languages such as Python, Java (mandatory), or Scala.
4+ years of hands-on experience in Reliability Engineering for scalable, high-performance, distributed data systems with a focus on automation.
Experience with configuration management systems like Chef, Puppet, Ansible, or Terraform.
Deep understanding of CI/CD principles and familiarity with source control systems like Git.
Work with peer SREs to roll out changes in production environments and mitigate data-related production incidents.

Preferred

Experience with Change Data Capture systems like Debezium
Familiarity with data warehousing and engineering

Benefits

Paid time off
Generous 401k match
Commuter benefits
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Fertility reimbursement
Group term life insurances
Wellbeing resources

Company

Vimeo is a provider of all-in-one video software solutions.

H1B Sponsorship

Vimeo has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (7)
2020 (8)

Funding

Current Stage
Public Company
Total Funding
$450M
2021-05-25IPO
2021-01-25Private Equity· $300M
2020-11-06Private Equity· $150M

Leadership Team

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Adam Gross
Interim Chief Executive Officer
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Philip Moyer
Chief Executive Officer
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Company data provided by crunchbase
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