Key responsibilities would include:

Leading the platform cost optimisation agenda across Databricks and associated cloud services.

Working collaboratively with engineering, architecture, operations, and business teams to identify and implement optimisation opportunities.

Establishing and tracking optimisation roadmaps, savings targets, and outcomes.

Providing leadership and direction to a team of engineers focused on platform performance, efficiency, and cost management.

Driving adoption of best practices across compute, storage, serverless, governance, and operational processes.

• Engaging with vendors and platform providers to leverage new capabilities and optimisation opportunities.