Staff Partner Engineer, Data Collaboration & Industry

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Job Summary

RDQ427R152

About the Role

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.

Key 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

Required Qualifications

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.

Preferred Qualifications

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.

Required Experience:

Staff IC

RDQ427R152About the RoleAs 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 d...