# Sr. Technical Marketing Engineer - Lakebase/Apps

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** GTM Engineering
**Salary:** $111k – $191k/yr
**Experience:** 5+ years
**Skills:** Postgres, SQL, Python, Databricks Apps, Lakebase, APIs, Schema Design, Query Tuning, Reference Architectures, Kubernetes
**Posted:** 2026-02-01

> Build demo applications and reference architectures for Lakebase and Databricks Apps, translating platform capabilities into technical content and guidance for developers building data-native apps with transactional, analytics, and AI workloads. Requires 5+ years experience and strong Postgres/SQL skills.

## Job Description

## 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.
- Develop technical content such as blogs, videos, walkthroughs, and sample applications.
- Partner with product and engineering teams to test new capabilities and provide feedback.
- Work with field engineering and product marketing to support launches and enablement.
- Communicate technical concepts in customer meetings, 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 Haves
- 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.
- Prior field-facing or customer-enablement experience.
- Databricks or cloud platform certifications.

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