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Sell Databricks' cloud data platform to Financial Services accounts by building and expanding customer relationships, meeting CIOs and executives, closing new and existing accounts, managing pipelines and forecasts in Salesforce, exceeding revenue targets, identifying quick wins and long sales cycles, and coordinating internal and external success plans.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.

Lead global procure-to-pay transformation, owning procurement operations, accounts payable, third-party onboarding, financial controls, and P2P systems. Drive end-to-end automation and AI orchestration, ensure real-time spend visibility and SOX-ready controls, standardize global processes, and build a high-performing distributed P2P organization aligned with finance and IT leadership.

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

Build and maintain Databricks-based data pipelines, analytics layers, dashboards, and internal AI applications for the ISV partner organization. Own metrics, monitoring, governance, and self-serve reporting; prototype partner-product integrations and provide feedback as an early adopter to product and DevRel teams.

As a Senior Software Engineer, you'll manage billing systems for Databricks products, enhance infrastructure efficiency, and innovate pricing strategies using AI and big data.

The Engineering Manager will lead the Spark Structured Streaming team, overseeing development, recruitment, and adoption of Stream Processing technology. Responsibilities include managing technical debt, driving product vision, and fostering team growth.

As a Sr. Staff Technical Solutions Engineer, you will provide specialized support to Databricks' strategic customers, solve technical challenges, and optimize performance using Spark and data technologies.

This role involves enhancing security measures, leading engineering efforts in data security, and collaborating across teams to safeguard customer data.