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Lead the design and development of enablement content for data warehousing and analytics engineering. Collaborate with teams for high-impact technical training material.

The Lead Adoption Architect drives financial performance and effectiveness for Databricks' product line, working with various teams to enhance product adoption and establish clear strategies for field execution.

Lead execution and evolution of internal live and hybrid production capabilities, ensuring seamless delivery for employee communications and events. Design workflows, troubleshoot issues, and partner with stakeholders to improve internal production quality.

Hunt and close new enterprise Navy accounts for Databricks, build C‑level relationships, drive adoption of Databricks usage, manage complex sales cycles, and coordinate cross‑functional teams and partners to maximize customer impact.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.

The Senior Technical Marketing Engineer will build data-native applications, create demos, and develop technical content for Lakebase and Databricks Apps, focusing on user experience and application patterns.

The Sr. Solutions Architect collaborates with customers to design scalable data architectures, drives technical discussions, and builds customer engagements to promote Databricks technologies.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

Lead a global organizational development agenda focused on interviewer enablement, hiring excellence, career frameworks, and AI-driven org design. Partner with senior leaders, Talent Acquisition, and People teams to diagnose complex people problems, design scalable solutions, drive adoption across thousands of employees, and measure program impact. Build certification, assessment, and success-profile systems to raise and sustain the hiring bar as the company scales.

The Learning Product Manager Lead will develop the AI-first learning experience, focusing on user skill acquisition within the Databricks platform, collaborating across teams to ensure effective learning systems, and transforming learning needs into product requirements.