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Sell Databricks' Data Intelligence Platform into enterprise telco accounts by building executive relationships, expanding footprint, driving pipeline and revenue, and managing forecasts and customer details in Salesforce. Advocate AI/Big Data solutions, prioritize opportunities, and exceed quotas while collaborating internally and with system integrators.

The role focuses on enhancing customer data security, leading security engineering initiatives, and promoting data security practices throughout the organization.

As a Staff Data Scientist, you'll drive data-driven insights, mentor junior staff, and integrate data science tools with engineering teams. You'll lead critical projects and represent data science in various settings.

Design and automate networking foundations for large-scale compute clusters. Lead development of secure, scalable connectivity across cloud providers to support data and AI workloads.

As a Sr. Staff Software Engineer in Observability, you will develop advanced observability solutions, manage infrastructure, and mentor engineers to enhance technical excellence within the team.

The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.

The Sr. Solutions Architect will lead customer engagements for Databricks, design data architectures, implement solutions, and promote open-source projects.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

As a Senior Product Manager for Databricks Repos, you will define and drive the vision for the developer experience related to version control and workflow integration for data and AI applications.

Drive revenue realization and scalable enablement across a portfolio of accounts by designing repeatable workflows, building lightweight automations, analyzing activation and usage trends, identifying friction, and improving processes and tooling to increase customer adoption.