Staff Partner Engineer, Azure

RDQ427R371

At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.

About The Role We’re seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.

Impact you will have

• 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.

What we’re looking for

• 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.

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 - understanding of Microsoft field organization, partner program structure, and decision-making processes.
• History of driving product-to-product integrations between major platforms.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width…