Microsoft Elevate は、AI時代において、教育機関とそこに関わるすべての人々がより大きな可能性を発揮できるよう支援するグローバルイニシアチブです。日本においては、K-12および高等教育を含むEducation全体のお客様に対し、AI、クラウド、セキュリティ、スキリングを組み合わせ、教育・研究・業務変革を支援します。
Digital Cloud & AI Solution Engineer (Azure Data, Education) は、教育機関のお客様に対し、データベース、分析基盤、データガバナンス、AI活用を技術面から提案・設計・実証するテクニカルセールスロールです。Microsoft Fabric、Azure Databricks、Azure SQL、Cosmos DB、PostgreSQL、Power BI、Microsoft Purview、Azure AI Foundry（Azure OpenAIを含む）などを活用し、教育・研究・業務データの統合、分析、可視化、AI活用を通じてデータドリブン変革を支援します。
Microsoft の使命は、地球上のすべての人と組織がより多くのことを達成できるよう支援することです。
私たちは社員一人ひとりが成長マインドセットを持って集い、他者の可能性を広げるためにイノベーションを起こし、共通の目標を実現するために協力しています。
日々、尊重、誠実さ、説明責任という私たちの価値観を大切にし、誰もが職場でもその先でも成長し、能力を最大限に発揮できる、インクルーシブな文化の創造に取り組んでいます。
Microsoft Elevate is a global initiative designed to help education institutions and the people they serve thrive in the AI-powered economy. In Japan, Microsoft Elevate supports the broader Education sector, including K-12 and Higher Education, by combining AI, cloud, security, and skilling programs to accelerate education, research, and operational transformation.
The Digital Cloud & AI Solution Engineer (Azure Data, Education) is a technical sales role responsible for helping education customers envision, design, and validate database, analytics, data governance, and AI solutions. This role leverages Microsoft Fabric, Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry (including Azure OpenAI), and related technologies to support data integration, analytics, visualization, and AI-driven transformation across education, research, and operations.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Microsoft Fabric（OneLake、Data Warehouse、Real-Time Intelligence、BI、Copilot）、Azure Databricks、Azure SQL、Cosmos DB、PostgreSQL、Power BI、Microsoft Purview、Azure AI Foundry（Azure OpenAIを含む）を活用した技術提案、デモ、アーキテクチャ設計を行う。
- 教育機関のデータ活用、学習・研究・業務データ統合、データベース/分析基盤モダナイゼーション、生成AI活用、データガバナンスに関する技術的レディネスと実行可能なロードマップを整理する。
- デモ、PoC、ハッカソン、アーキテクチャワークショップを通じて、顧客の技術的意思決定を支援し、セキュアでスケーラブルなデータ/分析基盤の本番展開を加速する。
- データ品質、権限管理、プライバシー、コンプライアンス、コスト、運用管理を考慮したアーキテクチャを設計し、技術的な反論やブロッカーを解決する。
- オンプレミスEDW、Hadoop、BI、既存データベース環境からMicrosoft Cloudのデータ/分析スタックへの移行・近代化を支援する。
- 営業チーム、Cloud & AI Specialist、サービス、パートナー、製品/エンジニアリングチームと連携し、Education市場におけるAzure DataおよびData & AI活用の拡大を推進する。
- Design, demonstrate, and position solutions using Microsoft Fabric including OneLake, Data Warehouse, Real-Time Intelligence, BI, and Copilot, as well as Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry (including Azure OpenAI).
- Assess technical readiness and define practical roadmaps for data utilization, learning, research and operational data integration, database and analytics modernization, generative AI, and data governance.
- Use demos, PoCs, hackathons, and architecture workshops to influence technical decisions and accelerate secure, scalable production deployments of data and analytics platforms.
- Design architectures that address data quality, access control, privacy, compliance, cost, and operations, and resolve technical objections and blockers.
- Help customers migrate and modernize from on-premises EDW, Hadoop, BI, and existing database environments to Microsoft Cloud database and analytics platforms.
- Collaborate with sales teams, Cloud & AI Specialists, services, partners, product teams, and engineering teams to scale Azure Data and Data & AI adoption across the Education market.
Qualifications
Required Qualifications
- 技術プリセールス、データエンジニアリング、分析基盤、BI、データベース、AI、クラウドアーキテクチャ、技術コンサルティング、または関連領域で概ね4年以上の経験。
- Microsoft Fabric、Azure Databricks、Azure SQL、Cosmos DB、PostgreSQL、Power BI、Microsoft Purview、Azure AI Foundry（Azure OpenAIを含む）、データガバナンス、分析・可視化に関する基礎的な理解または強い関心。
- 顧客の教育・研究・業務上のデータ課題を理解し、データ基盤、分析、AI活用、導入計画、技術的なブロッカー解消策に落とし込む力。
- 顧客折衝を日本語で行うための高い日本語コミュニケーション力。英語での読み書き・社内連携に前向きに取り組めること。
- Python、R、SQLなどのプログラミング/クエリ言語、またはデータ分析・データベース移行・クラウドデータ基盤に関する知識。
- Microsoft Fabric、Azure Databricks、Power BI、データガバナンス、データベース移行、分析基盤モダナイゼーションの実務経験。
- データアーキテクチャ、ガバナンス、AI活用に関する複雑な技術議論、デモ、PoC、ワークショップをリードした経験。
Required Qualifications
- Approximately 4+ years of experience in technical pre-sales, data engineering, analytics platforms, BI, databases, AI, cloud architecture, technical consulting, or related fields.
- Foundational understanding of or strong interest in Microsoft Fabric, Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry (including Azure OpenAI), data governance, analytics, and visualization.
- Ability to translate customer education, research, and operational data challenges into data platform, analytics, AI, deployment planning, and technical blocker resolution.
- Strong Japanese communication skills for customer engagement and willingness to collaborate in English where needed.
- Knowledge of programming or query languages such as Python, R, or SQL, or experience with data analytics, database migration, or cloud data platforms.
- Hands-on experience with Microsoft Fabric, Azure Databricks, Power BI, data governance, database migration, or analytics platform modernization.
- Experience leading complex technical discussions, demos, PoCs, workshops, and architecture decisions on data, governance, and AI adoption.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Approximately 4 or more years of experience in technical presales, data engineering, analytics platforms, BI, databases, AI, cloud architecture, technical consulting, or a related field.
- Foundational understanding of or strong interest in Microsoft Fabric, Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry, Azure OpenAI, data governance, analytics, and visualization.
- Ability to translate education, research, and operational data challenges into data platform, analytics, AI, deployment planning, and technical blocker resolution.
- Strong Japanese communication skills for customer engagement.
- Willingness to collaborate in English for reading, writing, and internal coordination.
- Knowledge of Python, R, SQL, data analytics, database migration, or cloud data platforms.
- Hands-on experience with Microsoft Fabric, Azure Databricks, Power BI, data governance, database migration, or analytics platform modernization.
- Experience leading complex technical discussions, demos, proofs of concept, workshops, and architecture decisions involving data, governance, and AI adoption.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
