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Senior Director – Data Processing
| Company | VideoAmp |
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| Location | United States |
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| Salary | $245000 – $275500 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Expertise in distributed data processing and ingestion at scale
- Strong programming background in Python and Golang
- Hands-on experience with orchestration frameworks like Temporal.io
- Familiarity with streaming technologies and real-time or near-real-time pipelines
- Experience deploying on cloud platforms (AWS, GCP, Azure)
- Familiarity with the SCRUM process and available organizational tools
- 10+ years of experience in data engineering, backend systems, or distributed infrastructure
- 5+ years in a leadership role overseeing multiple engineering teams
- Proven experience rearchitecting and scaling ingestion or ETL systems in production
- Deep understanding of cloud-native architectures and data ecosystem components (e.g., Kafka, Airflow, Spark, Flink)
- Hands-on experience with Python, Go, and workflow orchestration tools
- Excellent communication and cross-functional collaboration skills
- Bachelor’s or Master’s in Computer Science, Engineering, or related field
Responsibilities
- Lead the Linear and Digital Data Processing teams, guiding their day-to-day operations and long-term vision
- Drive the unification of data processing systems into a modern, scalable platform
- Establish and enforce best practices around data pipeline reliability, observability, and performance
- Collaborate with engineering, product, and data stakeholders to ensure timely delivery of ingestion capabilities
- Evaluate and integrate new tools and technologies to improve pipeline performance and efficiency
- Build a strong engineering culture focused on accountability, learning, and excellence
- Mentor and develop engineering leaders and individual contributors
- Provide technical leadership in cross-team design discussions and architectural reviews
- Support hiring initiatives and help attract world-class data and infrastructure talent
- Maintain awareness of media and advertising industry trends, using this insight to inform system design and priorities
Preferred Qualifications
- Familiarity with the television, streaming, and digital advertising ecosystem is strongly preferred
