3 months ago

Staff Partner Engineer, Azure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join as a Staff Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will manage cross‑product roadmaps, drive engineering integrations, and ensure Databricks solutions work seamlessly within the Azure ecosystem. Lead architecture artifacts, coordinate multi‑organization delivery, and enable field teams with Azure‑Databricks integration guidance.

Location: New York, San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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 coordinate rhythms 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

Key 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, 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

Experience:10+ yearsAzureDatabricksCloudPartner engineering

Skills:CommunicationInfluenceLeadershipProblem-solving

Languages:English

Tech Stack:PythonSQLInfrastructure‑as‑codeAPI integrationDatabricksAzure

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

3 months ago

Staff Partner Engineer, Azure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York, San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key 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 coordinate rhythms 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

Key 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, 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

Experience:10+ yearsAzureDatabricksCloudPartner engineering

Skills:CommunicationInfluenceLeadershipProblem-solving

Languages:English

Tech Stack:PythonSQLInfrastructure‑as‑codeAPI integrationDatabricksAzure

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn