Director, Cloud Cost and Capacity Programs

Director, Cloud Cost and Capacity Programs
At Databricks, our mission is to help data teams solve the worlds toughest problems from climate change to healthcare to cybersecurity with the power of data and AI. As our platform scales globally, optimizing infrastructure efficiency, reliability, and cost is critical to our ability to innovate and grow.
The Director, Cost and Capacity Programs will lead the companys crossfunctional strategy and execution to ensure Databricks operates with predictable cost efficiency and elastic capacity across cloud providers, products, and global regions. You will build the programs, infrastructure, rhythms, and insights that empower teams to make datadriven tradeoffs between performance, reliability, and cost.
Lead and scale programs focused on cost, capacity, and efficiency across Databricks infrastructure and product lines.
Drive strategy and execution for multicloud infrastructure optimization, provisioning guardrails, utilization forecasting, and spend governance.
Influence cloud vendor negotiations and architecture choices , ensuring Databricks achieves the optimal balance between cost, reliability, and performance.
Mentor a highperforming team of technical program managers and analysts driving impact across engineering, product, and operations.
Bachelors degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).
~12+ years of experience in program management, infrastructure operations, or engineering leadership.
~ Proven track record leading largescale cost, capacity, or cloud optimization initiatives in highgrowth SaaS or platform environments.
~ Deep understanding of cloud cost models (AWS, Azure, GCP), infrastructure provisioning, and performance optimization.
~ Strong financial acumen and experience partnering closely with Finance, FP&A, and Ops teams.
~ Experience building or leading FinOps or CostOps functions in largescale distributed systems environments.
Deep understanding of Kubernetes, data platforms, or compute/storage scaling patterns.
Experience in a hyperscale, multicloud, or data infrastructure company.
Databricks is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to jobrelated skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Local Pay Range
$About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other protected characteristics.
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