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.
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About the role
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 AzureDatabricksPythonSQLInfrastructure As CodeAPI IntegrationsAWSGCP
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