MKTQ227R21
At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models.
We are looking for a Senior Technical Marketing Engineer to help developers and data teams design, build, and operate applications using Lakebase and Databricks Apps. This role focuses on building projects end-to-end and translating platform capabilities into clear, practical guidance through demos, reference architectures, and technical content.
This role reports to the Director of Technical Marketing and works closely with product, engineering, and field teams.
You will work closely with Lakebase and Databricks Apps product and engineering teams to validate application patterns and translate platform capabilities into practical guidance, partner with field engineering to build and scale customer-ready demos and workshops, and support application developers and data engineers as the primary audience, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI.
The impact you will have:
- 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.
What we look 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.
- Comfortable being customer-facing and self-directed across multiple workstreams.
- 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$139,000—$191,200 USD
Zone 2 Pay Range
$125,100—$172,050 USD
Zone 3 Pay Range
$118,200—$162,450 USD
Zone 4 Pay Range
$111,200—$152,900 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.