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Databricks5,001-10,000 employeesAI & ML

Sr. Technical Marketing Engineer - Lakebase/Apps

The data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify data, analytics, and AI.

Compensation
$111K-$191K /year
Location
Remote, United States
Workplace
Remote
Type
Full-time

About the role

Build end-to-end demo applications and reference architectures using Lakebase and Databricks Apps, and translate platform capabilities into practical technical content for developers and data teams building data-native applications where transactional data, analytics, and AI operate on the same platform.

What you'll do

  • 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.
  • Develop technical content including 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.

What we're looking for

  • 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.
  • Bachelor's or master's degree in computer science or a related engineering discipline.
  • Nice to have: experience with analytics, BI, or AI workloads integrated into applications; familiarity with governance, identity, and access control; prior field-facing or customer-enablement experience; Databricks or cloud platform certifications.

Posted

14 days ago · Jun 12, 2026