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Leads Databricks’ global customer enablement partnerships, owning strategy, operating models, commercialization, partner offerings, pricing, governance, quality standards, and revenue growth. The role coordinates Legal, Finance, Curriculum, Training Operations, Commercialization, and regional teams while scaling partner-led curriculum, certification, and delivery programs. It also develops regional capabilities, manages global partnership ecosystems, and champions AI-enabled expansion.

Leads technical customer engagements for Databricks strategic accounts, including discovery, solution architecture, platform demonstrations, proofs of concept, and technical strategy. Builds production-quality data solutions across engineering, analytics, and machine learning; presents technical differentiation; develops reusable assets; and partners with Account Executives to expand platform adoption and consumption.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Leads IT compliance for usage-based revenue processes, including platform consumption controls, cloud partner reconciliations, SOX-ready engineering workflows, and paid-usage metering data governance. Partners with Engineering, Finance, Accounting, and Internal Audit to resolve discrepancies, assess revenue recognition impacts, automate reconciliation processes, and maintain reliable revenue datasets.

Leads Order to Revenue process compliance for a usage-based revenue engine. Oversees usage remediation, root-cause analyses, partner reporting, metrics, financial reserves, revenue recognition adjustments, SOPs, and cross-functional collaboration with Engineering and business teams. Ensures operational execution aligns with compliance requirements and partnership terms while improving financial accuracy and resolving recurring issues.

Leads order-to-revenue compliance for usage-based revenue, overseeing metering, billing controls, product launches, partner royalty reconciliations, SOX compliance, audits, technical accounting, and issue remediation. Manages functional leads and partners with Engineering, Finance Data Systems, Sales Operations, FP&A, executives, and auditors to validate monetization processes, resolve metering issues, and ensure accurate revenue conversion.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Lead technical delivery, advise enterprise stakeholders, train customers, resolve implementation issues, and contribute reusable frameworks and product feedback. This role requires customer immersion, cross-functional collaboration, and travel to customers approximately 20% of the time.

Build and productionize customer data and AI solutions on the Databricks Platform. Own architecture, design, development, deployment, and integration of scalable data pipelines, ML/AI models, and applications. Collaborate with customers, engineering, product, and project teams; provide technical guidance, training, documentation, and implementation support. Deliver measurable project outcomes, resolve technical issues, create reusable accelerators, and influence product direction. Travel to customers approximately 20% of the time.

Design and deploy production ML/AI architectures on the Databricks platform, lead Generative AI (LLM, RAG, agent) implementations, optimize and scale MLOps pipelines, provide technical pre-sales support, and translate customer feedback into product improvements while mentoring peers and meeting delivery milestones.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.