Sr. Technical Marketing Engineer - Lakebase/Apps

Databricks is a leading data and AI company that empowers organizations to unify and democratize data, analytics, and AI. They are seeking a Senior Technical Marketing Engineer to support developers in building data-native applications using Lakebase and Databricks Apps, focusing on end-to-end project development and translating platform capabilities into practical guidance.

Responsibilities:

• Build and maintain end-to-end demo applications using Lakebase and Databricks Apps, covering transactional workflows, application state, analytics, and AI integration
• Design and document reference architectures and application patterns that combine database semantics, analytics, and AI on the same data
• Tell a clear and compelling technical story through the applications you build, showing the developer experience, tradeoffs, and benefits of building data-native apps using Lakebase
• Develop technical content such as blogs, videos, walkthroughs, and sample applications that explain both the architecture and the developer workflow
• Partner with product and engineering teams to test new capabilities, validate application patterns, and provide feedback grounded in real usage
• Work with field engineering and product marketing to support launches, enablement, and customer-facing technical narratives
• Communicate technical concepts clearly in customer meetings, analyst briefings, webinars, and conferences
• Act as a subject matter expert for application development use cases involving Lakebase and Databricks Apps

Requirements:

• 5+ years in technical marketing, software engineering, solutions architecture, or developer-focused product roles
• Strong hands-on experience with Postgres and transactional application patterns, schema design, indexing, migrations, and query tuning
• Experience building and shipping applications with APIs and data access layers
• Strong SQL skills, Python experience preferred
• Familiarity with modern app stacks and deployment concepts
• Strong writing and presentation skills for technical audiences
• Comfortable being customer-facing and self-directed across multiple workstreams
• Bachelor's or master's degree in computer science or related engineering practice
• Experience building internal or customer-facing data applications
• Familiarity with analytics, BI, or AI workloads integrated into applications
• Experience with governance, identity, and access control in application environments
• Prior field-facing or customer-enablement experience
• Databricks or cloud platform certifications