Cake Job Search

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience in deployment planning, orchestration, or change management, programming languages, debugging, or systems design. Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders. Preferred qualifications: Experience promoting technical solutions in one or more of the following areas: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, AI, Networking, Migrations or Security. Experience with Google Cloud products and differentiation from competition. Experience working with product and capacity teams to resolve technical and capacity blockers. Experience with object-oriented programming languages (i.e. Python, Java), and using technical proficiencies to remove blockers and accelerate customer deployment. Experience in developing and deploying solutions in a fluid, digital-native environment. About the jobThe Google Cloud Platform (GCP) team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security and reliability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees and partners.As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will partner with a cross functional team at Google, to drive initial and ongoing business growth for our customers, providing technical advisory, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Develop and orchestrate a structured, deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training). Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment. Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible. Maintain awareness of progress against the delivery plan, providing support to customers or partners during ramp, delivery, migration, or implementation phases. Identify expansion opportunities for new workloads within the account during project execution. Drive the product usage to help customers realize value on an ongoing basis and secure future agreement renewals. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Ability to communicate in English and Thai fluently to support client relationship management in this region. Preferred qualifications: Experience promoting technical solutions in Cloud AI. Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution). Experience with security concepts (e.g., encryption, identity management, access control, attack vectors). Experience building technical strategies to uncover new workloads with customers. Experience migrating applications and services to cloud platforms. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Platform Customer Solutions Consultant, you will partner with sales teams to differentiate Google Cloud Platform (GCP) to the customers and serve as the customer’s primary technical partner and advisor, engaging in technical-led conversations to understand business issues. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use the expertise to architect cross-pillar cloud solutions that solve business issues. You will drive the technical win and define the delivery and consumption plans to engage with technical and business leaders, and present solutions. You will focus on identifying, pursuing, and winning new business workloads and driving engagement within existing ones. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Develop and own the technical account plan and strategy, participate in planning and support the business goals. Combine sales, programming, and solutions architecture expertise to prove the value of GCP across the portfolio through demos, pilots and workshops. Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers, and continue to lead the technical engagement in the solution phase. Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, provide support to cross-functional teams during ramp, delivery, migration or implementation phases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. 2 years of experience with software development in C or C++ programming languages. Preferred qualifications: Master’s degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. Experience in developing hyperscale, server platform design, firmware development or system architecture. Experience with the server ARM computer architecture and Linux systems. Experience with BIOS, Kernel, and Firmware development. Experience with upstream open-source contributions. Knowledge of firmware design, kernel development, and server system integration. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Develop, and implement ARM Servers and associated devices, from conception to launch, using Google custom-designed ARM CPUs and other bleeding edge technologies. Design and implement new capabilities according to industry best practices and standards, ensure code quality via testing and in partnership with other engineers and technical leaders. Collaborate with internal and external partners to plan and execute the engineering programs, including product development, and productivity improvement. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting. Experience with Large Language Models (LLMs), open source, big data, machine learning, and numerical programming frameworks. Experience with AI products, technologies, and infrastructure. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), etc). Experience in architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Knowledge of AI Models, Large Language Models, and AI specialized infrastructure related to AI trends and issues within businesses. Knowledge of responsible AI practice. Ability to work with new technologies, methodologies, and solutions in the Cloud/IT technology environment. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers. Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s generative language Application Programming Interfaces (APIs) to help them build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. Experience in enterprise server or storage systems, including server software, SSD, and NVMe. Experience in high-performance computing, reliability engineering, software-defined systems, hardware acceleration, and disaggregated computing. Experience in large-scale and secure fleet management of servers and components. Experience with developer operations, release management, integration testing, open source development or Open Compute Projects (OCP). About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Develop technical and product roadmaps, influence executive decisions; define and implement the best known practices for multiple teams. Lead the programs of system software development for next-generation server and storage systems to adopt the latest technologies of performance, reliability, security, and cost-effectiveness. Lead the programs of system software development for large-scale system verification, automate diagnostics, system configuration management, and operation metrics collection. Mentor the team by modeling high standards, providing guiding feedback, and implement new practices to improve productivity. Contribute innovative ideas and skills to the team. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience with cloud infrastructure engineering, on-premise infrastructure engineering, virtualization, or containerization platforms. 4 years of experience working with digital native customers. Experience delivering technical presentations. Experience in data and AI, including generative AI and agentic AI solutions and environments. Ability to communicate in English and Japanese fluently in order to support client relationships in the region and interact with local and international stakeholders. Preferred qualifications: MBA or Master's degree in Computer Science or a related field. Experience with WAN/internet-related technologies and architectures across SaaS, PaaS, IaaS, and cloud productivity suites. Experience architecting and developing software or infrastructure for scalable and secure distributed systems. Experience with relational databases, NoSQL databases, or Big Data technologies and containers. About the jobTechnology is at the core of everything we do, especially in the world of Internet advertising. Sales Engineers are the behind-the-scenes brains for the proposals the Partner Development team pitches to our partners. Your strong software development background, detailed knowledge of web technologies and online advertising are key to working with the engineering and sales teams to create custom solutions for our partners. You are responsible for the entire technical back-end, from interpreting and writing technical specifications to the creation and implementation of the final plan. As the go-to technical expert for the team, you help design the solutions that make our partnerships successful. When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s technology–all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. In this role, you will assist your partner sales Googlers by problem-solving key technical issues for our customers. You will liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. Acquire new logos, create and build customer relationships from scratch, and establish yourself as a trusted advisor on their long-term technology and business decisions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google は、障がい者採用の取り組みを進めています。必要な条件/経験:学士号を取得していること（同等の実務経験でも可）。クラウド インフラストラクチャ エンジニアリング、オンプレミス インフラストラクチャ エンジニアリング、仮想化、コンテナ化プラットフォームのいずれかに携わった 4 年以上の経験。デジタル ネイティブなお客様を担当した 4 年以上の経験。技術的なプレゼンテーションを行った経験。生成 AI やエージェント型 AI のソリューションや環境を含む、データと AI に関連する業務経験。英語と日本語による優れたコミュニケーション能力を備え、担当地域の顧客との関係をサポートし、国内外の関係者とやり取りできること。望ましい経験/スキル:MBA またはコンピュータ サイエンスや関連する技術分野における修士号。SaaS、PaaS、IaaS、クラウド生産性スイートを横断する WAN / インターネット関連の技術とアーキテクチャを扱った経験。スケーラブルかつセキュアな分散型システムのソフトウェアまたはインフラストラクチャを設計・開発した経験。リレーショナル データベース、NoSQL データベース、ビッグデータ テクノロジー、コンテナを扱った経験。この求人について技术是我们开展一切工作的核心，尤其是在网络广告领域。销售工程师是合作伙伴开发团队向我们的合作伙伴推介提案的幕后智囊。您要拥有深厚软件开发功底，对 Web 技术和线上广告有透彻的理解，这对于您与工程和销售团队合作，为我们的合作伙伴打造定制解决方案至关重要。您要负责整个技术后端，从解读和编写技术规范，到制定和实施最终计划，全由您负责。作为团队公认的技术专家，您要帮助设计解决方案，助力合作顺利达成。如果龙头公司纷纷选择 Google Cloud，这将对云计算技术在全球范围的推广产生巨大推动作用。Google Cloud 凭借卓越的基础设施、平台、行业解决方案和专业实力，助力客户组织加速提升业务数字化转型能力。我们提供采用 Google 技术的企业级解决方案，所有这些解决方案都是在环保水平业界领先的云平台上实现的。目前，Google Cloud 已成为深受全球 200 多个国家/地区客户信赖的合作伙伴，帮助他们实现业务发展，并解决最关键的业务问题。在此职位上，您要为我们的客户解决关键的技术问题，协助 Google 合作伙伴销售团队顺利开展工作。您要与产品营销管理团队和工程团队保持联络，及时了解行业趋势，并为改进 Google Cloud 产品出谋划策。Google Cloud は、あらゆる組織のビジネスと業界におけるデジタル トランスフォーメーションを加速させるとともに、Google の最先端テクノロジーを活用したエンタープライズ クラスのソリューションと、デベロッパーがよりサステナブルに構築に取り組めるツールを提供します。200 以上の国や地域のお客様が、成長を可能にし、最も重大なビジネス上の問題を解決するための信頼できるパートナーとして、Google Cloud を採用しています。業務内容チームメンバーと協力して、ビジネス チャンスの発掘および評価、お客様の主な技術的課題の見極め、技術的障壁を取り除くための戦略策定を行う。Google Cloud に関する豊富な専門知識を共有し、お客様を技術面からサポートする（技術支援、入札レスポンスの支援、プロダクトやソリューションのブリーフィング、概念実証など）。プロダクト マネジメント チームと直接連携して、お客様の Google Cloud 導入を効果的に促進できるようにソリューションの優先順位を設定する。Google Cloud プロダクトを実際に使用して、お客様やパートナーの環境で統合のデモンストレーションを行い、プロトタイプを構築する。Google Cloud のソリューションを実装するために必要となる統合戦略、エンタープライズ アーキテクチャ、プラットフォーム、アプリケーション インフラストラクチャに関する提案を行う。新しい企業顧客を獲得し、お客様との関係をゼロから構築して、テクノロジーやビジネスにおける長期的な意思決定について信頼できるアドバイザーとなる。Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

運用 GCP（Google Cloud Platform）進行的全方位開發工作 雲端環境的設計（繪製架構圖） 雲端環境的建置（開發、測試、本番環境） 雲端環境的維護、運用支援與監控作業 雲端服務新功能的驗證與測試 雲端使用費用的估算與成本最佳化的規劃 系統壓力測試與營運測試的執行 技術文件的撰寫與更新 各類日誌的檢查、彙整、分析與預防性維護規劃

【Responsibility】負責設計並部署具高可用性、擴展性與安全性的 GCP 雲端架構，確保能滿足業務成長與技術演進需求。檢視並分析現行系統結構，提供效能強化與上雲轉換的建議與實施計畫。熟悉並管理 GCP 運算與網路核心服務，例如 Compute Engine、App Engine、Cloud Functions、VPC、Cloud Interconnect、Cloud Armor 等，確保基礎環境穩定運作。擅長建置雲端資料解決方案，包含 Cloud SQL、Cloud Spanner、Firestore、BigQuery 等 GCP 資料相關服務的規劃與效能優化。導入 Infrastructure as Code（IaC）流程，運用 Terraform、Deployment Manager 等工具進行資源自動化部署與版本控管。建立完善的監控與告警架構，使用 Cloud Monitoring、Cloud Logging 等服務確保系統效能穩定與資安合規，並能獨立進行故障診斷與效能調校。協助規劃並落實 AI/ML 解決方案，包含應用 Vertex AI、Vision AI、Gemini API 等工具整合智慧功能至產品或流程中。熟練操作 AutoML、BigQuery ML 等工具，進行模型訓練、部署與監控管理，強化機器學習生命周期管理能力。作為技術顧問角色，支援客戶解決複雜問題，並協調內外部團隊資源，促進專案順利推進。持續追蹤 GCP 生態系最新技術與服務更新，並將實務經驗轉化為可複製的最佳實踐應用至團隊中。

公司介紹 我們的客戶是一家長期深耕金融科技與數位創新的大型金融機構，近年積極投入資料平台與雲端架構升級，打造企業級數據基礎設施，支援數據分析、AI模型與多元金融場景。 團隊目前正推動 Modern Data Stack 與資料治理體系建設，導入雲端數據平台、資料血緣管理與自動化資料流程，讓數據能真正驅動產品決策與金融服務創新。 對資料工程師而言，這是一個能接觸 大規模資料、成熟商業場景與完整數據治理架構 的環境，能在穩定產業背景下，參與企業級資料平台的設計與落地。 工作內容 設計與維護 雲地混合（Hybrid Cloud）數據架構 建立與開發 大規模 Data Pipeline，處理結構化、半結構化與非結構化資料 建立資料處理流程的 自動化監控與維運機制 評估與導入 Modern Data Stack，提升資料治理、品質與血緣管理能力 使用資料治理與元資料管理工具，管理企業數據資產 維護與優化 Airflow 工作流程平台，支援資料科學與分析團隊的資料處理流程 設計部署與監控策略，確保資料平台穩定與高可用性 使用的技術 Python SQL Apache Airflow GCP（Composer / Dataflow） Terraform CI/CD Pipeline Data Governance / Data Lineage Modern Data Stack