Sr. Director, Data Engineering
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Job Description
Vimeo is seeking a visionary Senior Director of Data Engineering to lead our data platform team in building scalable highperformance infrastructure on the Databricks stack. This role requires a handson leader with expertise in fullstack development automationfirst engineering and cloudnative data platforms. You will manage a team of Senior Engineers and Data Engineering Managers driving technical excellence and fostering a culture of innovation.
What youll do:
- Lead mentor and inspire a team of Data Engineers working in crossfunctional squads alongside analysts in building robust highperformance data platforms leveraging modern technologies like Python Spark/PySpark and cloudnative services emphasizing scalability automation and resilience.
- Drive the development of realtime streaming data platforms and batch processing systems using modern tools such as Spark Streaming Apache Airflow and data transformation frameworks.
- Architect data models within a medallion architecture to create reusable maintainable and stable data infrastructure that are easily consumed by Business Intelligence applications (Looker)
- Lead the seamless integration of data platform services with application development contributing to fullstack solutions that effectively bridge data infrastructure and business intelligence applications.
- Establish and maintain comprehensive monitoring logging and alerting systems for data platform services utilizing DevOps tools to ensure high availability and scalability.
- Partner with crossfunctional teams to translate complex business requirements into robust technical platform solutions prioritizing automationfriendly approaches for new builds
- Lead migration efforts of legacy infrastructure to targetstate modern data stacks
- Optimize resource allocation ensuring the acquisition and deployment of toptier talent and essential tools to meet project and operational needs
- Set clear performance expectations conduct regular reviews and provide constructive feedback to foster a culture of high performance.
- Proactively identify and mitigate potential risks to the data platforms reliability and performance developing robust contingency plans.
- Own the strategic architecture and handson implementation of comprehensive data platform solutions from data ingestion and processing to platform service deployment with a strong focus on automation and CI/CD best practices.
Skills and knowledge you should possess:
- BS/MS in Computer Science Software Engineering or a related discipline.
- 12 years of experience in building and operating productiongrade data platforms with a strong emphasis on fullstack development and automation.
- 5 years of experience in managing and leading data engineering teams.
- Deep understanding of software engineering best practices including version control (Git) CI/CD pipelines testing frameworks and code reviews.
- Extensive expertise in cloudnative data architectures (AWS GCP or Azure) Spark/PySpark Python and modern data platform technologies.
- Understanding of Business Intelligence applications (Looker) and best practices for building sustainable underpinning data infrastructure
- Ability to automate data quality monitoring data governance and master data management processes.
- Proven track record of delivering impactful data platform products including data APIs automated reporting tools and selfservice data platforms.
- Familiarity with eventdriven architectures and streaming data platforms (Kafka Kinesis or similar technologies).
- Expertise in Python Spark/PySpark and cloudbased data processing for largescale data manipulation and automation.
- Proficiency in data platform automation using Apache Airflow data transformation tools and workflow orchestration systems.
- Experience in building and integrating RESTful APIs and eventdriven services.
- Solid understanding of software development methodologies including Agile DevOps and DataOps.
Nicetohaves/Bonus Points:
- Experience with SQL databases data visualization tools and largescale data analytics platforms.
- Handson experience (professional certification preferred) with cloudbased data platforms (AWS Google Cloud Platform Azure).
- Basic Linux/Unix system administration skills and shell scripting.
- Familiarity with machine learning pipelines including MLOps practices and model deployment.
- Experience with realtime analytics tools and data streaming technologies.
- Strong understanding of DevOps practices including CI/CD infrastructure as code (Terraform Pulumi) and monitoring tools (Prometheus Grafana).
- Proficiency in containerization and orchestration technologies such as Docker and Kubernetes for building scalable data platform services.
- Experience in developing and deploying microservices and serverless applications.
About us:
Vimeo is the worlds leading allinone video software solution. Our platform enables any professional team and organization to unlock the power of video to create collaborate and communicate. We proudly serve our growing community of over 200 million users from creatives to entrepreneurs to the worlds largest companies.
Vimeo is headquartered in New York City with offices around the world. At Vimeo we believe our impact is greatest when our workforce of passionate dedicated people represents our diverse and global community. Were proud to be an equal opportunity employer where diversity equity and inclusion are championed in how we build our products develop our leaders and strengthen our culture.
About Us:
Required Experience:
Director
Employment Type
Full Time
