Senior Technical Marketing Engineer (Data/AI)

TL;DR

Senior Technical Marketing Engineer (Data/AI): Building and maintaining end-to-end demo applications and reference architectures for data-native applications using Lakebase and Databricks Apps, combining transactional data, analytics, and AI. Focus on translating platform capabilities into practical guidance, designing application patterns, and creating technical content for developers and data teams.

Location: United States

Salary: $104,300–$182,450 USD (depending on zone)

Company

Databricks is a data and AI company empowering over 10,000 organizations worldwide with its Data Intelligence Platform.

What you will 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.
• Tell a clear and compelling technical story through applications, showing developer experience and benefits of building data-native apps.
• Develop technical content such as blogs, videos, walkthroughs, and sample applications that explain architecture and developer workflow.
• Partner with product and engineering teams to test new capabilities, validate application patterns, and provide feedback.
• Communicate technical concepts clearly in customer meetings, analyst briefings, webinars, and conferences.

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.
• Bachelor's or master's degree in computer science or related engineering practice.

Nice to have

• 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.

Culture & Benefits

• Comprehensive benefits and perks to meet employee needs.
• Commitment to fostering a diverse and inclusive culture where everyone can excel.
• Fair and equitable compensation practices with eligibility for annual performance bonus and equity.