Microsoft Cloud Solution Architect - Data & Analytics 

Taiwan, Taoyuan City 

261105509

:

• : 日常会話レベル

• : ビジネスレベル

:

• : 提案されたソリューション、計画、およびリスクのビジネスニーズと価値を利害関係者および意思決定者に伝える能力。これには、事実と目標および戦略との整合性に基づいて説得し、情報を提供する能力が含まれます。

• : 顧客のニーズと技術を理解することで、利害関係者（技術的意思決定者、ビジネス意思決定者）との深い関係を築き、信頼できるアドバイザーの地位を確立する能力。

• 把握能力:正しい自己認識の立場の理解を通じて

• 洞察に基づく傾聴: 顧客のニーズ、問題、ビジネス環境、および推進要因を理解するために洞察に満ちた質問をし、顧客が言ったことを超えて理解します。

:

• : 基礎的なセキュリティ、基礎的なAI、アーキテクチャ設計における技術的経験と知識の幅、以下のいずれかの分野での深い専門知識。

• : Azure SQLData（IaaS/PaaS）、クラウドへの展開と移行、オープンソースデータベースの展

• : 顧客のために、これらが本番展開につながる。

• :AWS、GCP、Snowflake、Databricksなどの主要なデータと分析プラットフォームの知識

• :DevOpsおよびCI/CDツールチェーン（Jenkins、AzureDeveloperServices、GitHub）およびコンテナオーケストレーションシステム（Docker、Kubernetes、CloudFoundry、AzureKubernetesService、GitHub

Required/Minimum Qualifications (RQs/MQs):

• Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field AND 5+ years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience.

Additional or Preferred Qualifications (PQs)

• Business Value: The ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
• Trusted Advisership : The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
• Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
• Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer said.

• Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design , with depth / Subject Matter Expertise in one or more of the following:
  • Deep domain expertise in one of the Data-specific areas, such as Azure SQL Data (IaaS/PaaS), deployments and migrations to the cloud, Open-source database deployments and migrations, Cloud Scale Analytics, and Data Governance OR hands-on experience working with the respective products at the expert level.
  • Experience creating Data & Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments.
  • Competitive Landscape: Knowledge of key Data & Analytics platforms such as AWS, GCP, Snowflake, Databricks, etc.
  • Software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Azure Developer Services, GitHub) and container orchestration systems (i.e., Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub).

:

• : ポジティブな顧客満足度を推進し、信頼できるアドバイザーになります。

• : 顧客/パートナーからのフィードバックと洞察を提供します。

ビジネスインパクト

• :SolutionArea

• : ビジネスおよびITのニーズを満たすソリューションを設計し、

• : 洞察とベストプラクティスを共有し、エンジニアリングチームと連携して主要な障害を取り除き、製品の改善を推進します。

• : 技術スキルと知識を維持し、市場のトレンドと競争力のある洞察を把握し、データと分析の技術コミュニティと協力し、Azureプラットフォームについて顧客を教育します。

• : 専門知識を共有し、IPの作成と再利用に貢献して顧客成果を加速します。

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• Understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value.
• Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor.​
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment.
• Customer/Partner Insights - Provide feedback & insights from customers/partners.​

Business Impact​

• Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.​
• Resolution of Customer Blockers - Identify resolutions to Customer blockers by leveraging SA subject matter expertise . Deliver according to MS best practices & using repeatable IP. ​
• Apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive POCs and MVPs, and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate.

​Technical Leadership​

• Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
• Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the Data & Analytics technical community while educating customers on Azure platform.
• Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes.