Infrastructure Data Science Leader

Neura Market; Mountain View (CA); On-site; USD 229,000 - 314,000; Full time

Job summary

Databricks is seeking a Senior Manager, Infrastructure Data Science to shape the future of our data-driven infrastructure. You will lead a team of data scientists, partnering with engineering leaders to empower data insights and scalable solutions.

Join a world-class team pushing AI and data platforms forward, focusing on capacity planning, performance optimization, reliability, and customer experience across diverse workloads.

Qualifications

• 10+ years of infrastructure data science experience in high growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics and ML/AI products in the cloud.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualization tools, data engineering, big data technologies.
• Leadership to lead across functional and organizational lines.
• Strong communication to explain analytics to executives and senior management.
• Bias to action and delivering high-quality data solutions.
• Comfort with ambiguity.
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

Responsibilities

• Provide thought leadership on infrastructure planning and scalability.
• Promote data-driven infrastructure decisions across engineering teams.
• Implement data-driven solutions to reduce downtime and improve reliability.
• Analyze resource usage to optimize cost and performance.
• Develop data frameworks for faster issue resolution and support.
• Mentor and manage a team of data scientists.

Skills

Infrastructure data science

Machine learning

Leadership

Data visualization

Cloud environments

Communication

Statistics

Education

MS or Ph.D. in quantitative fields

Tools

Big data technologies

Data engineering

Job description

Databricks is seeking a Senior Manager, Infrastructure Data Science to shape the future of our data-driven infrastructure. You will lead a team of data scientists, partnering with engineering leaders to empower data insights and scalable solutions.

Join a world-class team pushing AI and data platforms forward, focusing on capacity planning, performance optimization, reliability, and customer experience across diverse workloads.