Director, Strategic Sourcing

Overview

Location: While the Bay Area is preferred, we will consider candidates in other locations.

As Databricks continues to scale as the leading data and AI company, our technology footprint, vendor ecosystem, and third-party spend are growing rapidly in both size and complexity. Strategic sourcing is a critical lever for enabling innovation while ensuring Databricks remains disciplined, scalable, and commercially advantaged.

We are seeking a Director of Strategic Sourcing to build and lead a world-class sourcing function that partners deeply with Engineering, Product, Security, Legal, Finance, and IT. This leader will define how Databricks evaluates, negotiates, and manages technology and strategic suppliers—ensuring we invest in the right partners, on the right terms, at the right time.

This role is not about transactional procurement. It is about shaping Databricks’ vendor strategy, driving material business impact, and enabling teams to move fast without compromising rigor.

• Define and execute a global strategic sourcing strategy across technology, cloud-adjacent tools, marketing, professional services, and other high-impact categories. Build scalable category strategies aligned with Databricks’ product roadmap and growth plans.
• Establish sourcing as a trusted advisory function, not a bottleneck.
• Act as a strategic partner to leaders in Engineering, Product, IT, Security, Legal, and Finance. Guide stakeholders through vendor selection, commercial structuring, and contract negotiations. Balance speed, innovation, risk management, and cost discipline in decision-making.
• Lead complex, high-value negotiations that deliver meaningful cost savings, risk reduction, and commercial flexibility. Optimize total cost of ownership (TCO), not just price. Build frameworks for vendor rationalization, demand management, and value realization.
• Develop and lead a team of strategic sourcing professionals. Set high standards for analytical rigor, negotiation excellence, and stakeholder engagement. Create clear operating models, governance, and escalation paths.
• Partner with Procurement Ops to improve processes, tooling, and data visibility. Leverage market intelligence and benchmarks to inform sourcing decisions. Support M&A, new product initiatives, and global expansion as needed.

• 10+ years experience in a Procurement or Strategic Sourcing role with knowledge of full end-to-end Procure to Pay process
• Experience managing global sourcing and procurement operations
• Leader with ability to drive change across the organization to achieve efficiencies in processes and systems
• Process and customer service inspired
• Experience with systems such as Netsuite and Zip

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipated 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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$209,500 — $288,100 USD

Zone 2 Pay Range

$188,600 — $259,250 USD

Zone 3 Pay Range

$178,100 — $244,850 USD

Zone 4 Pay Range

$167,600 — $230,450 USD

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé 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.

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