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Director, Data Engineering (New York)

Director, Data Engineering (New York)

VimeoNew York, NY, United States
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Director, Data Engineering

Vimeo is seeking a Director of Data Engineering to lead our data strategy, architecture, and automation efforts. This role will drive the development of a modern, scalable lakehouse architecture with Databricks on Google Cloud Platform. The ideal candidate will have deep expertise in full-stack data engineering, automation, and governance, with a tech-agnostic approach that ensures Vimeo's data infrastructure remains scalable, cost-effective, and future-proof. They will also oversee production automation engineering and reliability for data workflows, ensuring high availability, performance, and compliance. This is a high-impact, strategic leadership role, requiring a mix of technical depth, architectural vision, and people leadership to build a cutting-edge data ecosystem at Vimeo.

What You'll Do

  • Drive and lead strategic, cross-functional initiatives in order to enable data standardization, increase data consumption and boost data-driven decision making.
  • Communicate findings and insights effectively to both technical and non-technical stakeholders.
  • Build and maintain user-friendly and informative dashboards, reports, and presentations in order to enable day-to-day and strategic data-driven decision making.
  • Perform advanced analytical deep dives to help stakeholders drill down into why they see certain outcomes.
  • Foster a relationship of trust and cooperation with the stakeholders, creating an atmosphere of knowledge sharing and collaboration.

Data Architecture & Engineering

  • Design and implement Vimeo's lakehouse architecture, leading an enterprise migration from Snowflake to Databricks
  • Build and scale data processing pipelines (batch and real-time) using Apache Spark, SQL engines, Airflow, and cloud-native services.
  • Drive data modeling and optimization strategies to ensure high-performance analytics, machine learning, and product insights.
  • Ensure seamless integration between storage, compute, and analytics layers, supporting both structured and unstructured data.

    • Production Automation & Site Reliability Engineering (SRE)

  • Lead automation-first initiatives for data ingestion, transformation, and governance using CI / CD, dbt, Airflow, and Terraform.
  • Establish observability, monitoring, and fault-tolerance frameworks to ensure high uptime and performance across data workflows.
  • Optimize cost efficiency and scalability of compute-intensive workloads by leveraging auto-scaling, caching, and federated query optimizations.
  • Implement SRE best practices to automate incident detection, resolution, and continuous improvement in data operations.

    • Governance, Security & Compliance

  • Define and enforce data governance best practices, ensuring compliance with GDPR, CCPA, and internal security policies.
  • Implement enterprise-grade access control frameworks using Databricks Unity Catalog and Atlan
  • Oversee metadata management, data lineage tracking, and cataloging to improve data discoverability and trust.

    • Leadership & Collaboration

  • Build and mentor a high-performing team of data engineers
  • Partner with Analytics, Product, Engineering, and AI / ML teams to enable data-driven decision-making and innovation.
  • Champion a data-first culture, promoting self-service analytics and democratized access to insights.

    • Technical Expertise

  • 8+ years of experience in data engineering, analytics, or data architecture, with 3+ years in a leadership role.
  • Deep expertise in modern cloud data platforms, ideally Google Cloud
  • Strong background in full-stack data engineering, including orchestration (Airflow, dbt), streaming (Kafka, Flink), and distributed computing.
  • Experience in automating data workflows, optimizing query performance, and implementing observability frameworks.
  • Hands-on experience with data catalogs, metadata management, and governance frameworks.

    • Leadership & Strategic Thinking

  • Ability to set and execute a long-term vision for data infrastructure, automation, and reliability.
  • Experience building and scaling high-performing teams across data engineering, analytics, and governance.
  • Strong cross-functional collaboration skills, with the ability to influence technical and business stakeholders.

    • Base salary is just one component of Vimeo's total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! We also offer paid time off, generous 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurances, wellbeing resources, and more.

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    Director Data Engineering • New York, NY, United States

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