MKTQ326R7
While candidates in the listed locations are encouraged for this role, we are open to remote candidates within the United States
At Databricks, Unity Catalog is the foundation of data intelligence. At its core, it addresses who can access what data and AI products and how we keep them secure, trackable, and compliant, no matter where they live. But it also reaches beyond governance to connect usage patterns, lineage, data sharing, cost controls, and business semantics into a unified picture of data and AI across an organization. Often, when customers are asked why they choose Databricks, Unity Catalog is the answer.
We’re looking for a Senior Technical Marketing Engineer to help us tell the story of the unified governance category. You will make the innovation and benefits of Unity Catalog real through demos, workshops, guides, and technical content that showcase Unity Catalog, Delta Sharing, and Marketplace for fellow practitioners. This role reports to the Director of Technical Marketing and works closely with product, engineering, field teams, and product marketing.
You’ll build hands-on solutions that help users understand and adopt data governance at scale. You’ll also represent Databricks in deep technical conversations with customers, analysts, and at public forums—through conferences, webinars, and other speaking opportunities.
Ideal candidates are technical, detail-oriented, and comfortable communicating complex topics around access control, data sharing, and security to both expert and non-expert audiences.
The impact you will have:
- Build and maintain demo environments and example solutions for Unity Catalog, Delta Sharing, Cleanrooms and Marketplace.
- Create technical artifacts, such as reference architectures, how-to guides, implementation playbooks, and tutorials, that clearly explain governance and data sharing workflows.
- Develop technical content (e.g. blogs, videos, walkthroughs) to support customer education and adoption.
- Work with product and engineering teams to test new features, provide feedback, and translate capabilities into practical usage patterns.
- Partner with field engineering and product marketing to build enablement and launch materials.
- Communicate technical concepts clearly and confidently in customer meetings, analyst briefings, and public speaking engagements such as webinars and conferences.
- Act as a subject matter expert for field teams and customer-facing engagements focused on governance, compliance, and data sharing.
What we look for:
- 5+ years of experience in technical marketing, solutions architecture, or product management in a data platform or enterprise software company.
- Hands-on experience with data governance, data security, and governance frameworks
- Familiarity with Databricks Unity Catalog or other governance systems (e.g., OneLake Catalog, Apache Polaris, AWS Lake Formation, Google Dataplex, Microsoft Purview, Alation or Collibra).
- Understanding of data sharing protocols and privacy-preserving collaboration patterns.
- Strong writing and communication skills, especially for technical audiences.
- Comfortable reading and writing code (Python, SQL preferred) to create demos and prototypes.
- Ability to work independently across multiple workstreams and cross-functional teams.
- Experience with Delta Sharing, clean rooms, or secure collaboration across organizations.
- Experience with compliance and audit requirements in regulated industries.
- Certifications in Databricks, AWS, Azure, or GCP.
- Prior field-facing or customer-enabling experience.
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.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
