Staff Partner Engineer, Azure
Owns technical relationship and integrations between Databricks products and Microsoft Azure, managing roadmaps, dependencies, and cross-team coordination. Requires 10+ years in cloud architecture with deep Azure expertise and hands-on Python/SQL skills.
About the job
Responsibilities
- Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams.
- Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing, and own coordination rhythms.
- Drive engineering integration work between Databricks and Azure product teams from scoping through delivery.
- Create and maintain technical architecture artifacts showing integration patterns, architecture diagrams, and reference implementations.
- Enable field teams with technical guidance on Azure-Databricks integration patterns.
Requirements
- 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.
- Proven experience managing strategic technical partnerships at VP/C-level.
- Hands-on technical skills with Python, SQL, infrastructure-as-code, and API integration patterns.
- Demonstrated ability to manage high-stakes partner relationships.
- Deep knowledge of Databricks platform and Microsoft data/AI ecosystem.
- Excellent communication and influence skills.
Preferred
- Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.
- Background working at or with Microsoft.
- History of driving product-to-product integrations between major platforms.
- Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).
Skills
Microsoft Azure, Databricks, Python, SQL, Infrastructure As Code, API Integrations, AWS, GCP
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