Staff Partner Engineer, Data Collaboration & Industry

Databricks • Seattle, WA

8d

About The Position

As a Partner Engineer for Data Collaboration, you act as a technical specialist supporting strategic partners as they architect and build their data collaboration strategy on Databricks. You will prototype, evaluate, and implement best practices for data sharing, governance, and data productization, working directly with partner data teams to drive adoption of Databricks Marketplace, Delta Sharing, and Databricks native architectures.

Requirements

• 5+ years experience in field engineering, solution architecture, or a technical cloud/data domain.
• Experience with cloud data platforms (Databricks, AWS, Azure, GCP), data governance, and collaborative data product development.
• Hands on Experience with data sharing, Delta Sharing, Unity Catalog, and associated Marketplace features preferred.
• Strong written and verbal communication, consultative skills, and ability to manage technical partner relationships.
• Comfort supporting multiple projects and navigating ambiguity; strong bias for hands-on execution and learning.

Nice To Haves

• Experience working directly with large data providers, especially in managed sharing, collaborative delivery models, and data marketplaces
• Evangelist who can create excitement with the field and customers
• Industry experience in martech or healthcare
• Experience is customer facing roles working with data products
• Open-source contributions or community engagement in data and AI technologies.

Responsibilities

• Lead end-to-end technical engagements with partners including onboarding, POC execution, data product evaluation, and Marketplace listing enablement.
• Design and prototype cross-cloud Delta Sharing architectures including governance, entitlements, security patterns, recipient management, and network configuration.
• Build and validate hands-on demos, sample data products, MCP server integrations, REST catalog validations, and multi-cloud sharing workflows.
• Troubleshoot complex data-sharing issues across security, networking, metadata, and client integration.
• Co-develop data productization strategies including metadata enrichment, semantic models, metric views, and AI-ready packaging.
• Contribute to the evolution and rollout of the Partner Well Architected Framework, ensuring data collaboration best practices are up-to-date and informed by real partner experiences.
• Act as a technical validator for new Databricks and partner features, providing actionable feedback to product and engineering teams.
• Enable and educate partners and field teams on best practices for data collaboration, sharing, and Marketplace operations; develop training and documentation as needed.
• Support the field on data sharing and collaboration use cases at their customers

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees