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Staff Partner Engineer, Azure

Databricks
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Hybrid (New York City, NY; San Francisco, CA; Seattle, WA)$150.2k - $206.5kFull-timePosted 6mo ago

About the role

Partner Engineer role focused on owning the technical relationship between Databricks and Microsoft Azure, driving cross-product integration, and aligning roadmaps and implementations within the Azure ecosystem.

Responsibilities

  • Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.
  • Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.
  • Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.
  • Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.
  • Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.

Qualifications

  • 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, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.
  • Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.
  • Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.
  • Deep knowledge of Databricks platform and Microsoft data/AI ecosystem
  • Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.

Skills

Required:Azure services and architecture patternsTechnical prototyping and debuggingPythonSQLInfrastructure as codeAPI integration patterns

Benefits

  • Benefits listed on company page per region (link provided in description).
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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