Senior Manager, Infrastructure Data Science · Databricks

Sat, 18 Apr 2026 15:44:53 GMT
Engineering

Databricks · San Francisco, California · $228,600-$314,250 USD · onsite

Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimisation, reliability engineering, infrastructure efficiency, and customer experience.

At Databricks, we enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform.

As a Senior Manager, Infrastructure Data Science, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.

Key responsibilities include:

Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.

Promoting a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and supporting the use of data science insights for high-impact, aligned strategies.

Implementing data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.

Spearheading analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.

Establishing data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.

Mentoring and managing a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

We look for candidates with 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies, as well as 5+ years of management experience hiring and developing teams.