關於Gap集團
我們旗下品牌在世界上的重要鴻溝之間架設橋梁。Old Navy讓時尚觸手可及，確保每個人都能獲得價廉物美的時尚單品。Athleta致力於釋放每一位女性的潛能，不論身材、年齡或種族。Banana Republic相信永續的奢華體驗屬於每個人。Gap更是啓發了全世界，讓所有人透過認真製作的現代服飾必備品展現其獨特個性。
這一簡單的想法——即每個人都需要以自己的方式獲得歸屬感——是我們作為一間公司以及制定決策的核心。我們的團隊由成千上萬名來自世界各地具有冒險精神、全局視野並為顧客、社區和地球行善的員工組成。如果妳具備全局視野，快速學習、無畏創新、大膽領導等品質，歡迎加入我們。
About the Role
Lead and mentor a team of platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement in building and maintaining cloud data solutions. Define the technical roadmap and strategy for the cloud data platform, leveraging Azure services such as Databricks, Storage Accounts, Virtual Machines, Azure Kubernetes Service (AKS), and Kafka, ensuring alignment with overall business objectives and data architecture principles. Collaborate extensively with Cloud Center of Excellence (CCoE), Information Security (InfoSec), Identity and Access Management (IAM), and Network teams to ensure the data platform adheres to best practices in security, compliance, governance, and operational efficiency. Oversee cloud cost monitoring, forecasting, and optimization for the Data and AI vertical, implementing strategies to maximize resource utilization and minimize expenditure across all cloud services. Evaluate and explore emerging technologies and services within Google Cloud Platform (GCP), including BigQuery, DataProc, Dataflow, and Google Kubernetes Engine (GKE), to identify opportunities for platform transformation, improved performance, and cost efficiencies. Establish and enforce engineering best practices, including CI/CD, automated testing, infrastructure as code (IaC), and monitoring frameworks, to ensure the reliability and maintainability of the data platform. Manage vendor relationships and evaluate new tools and technologies to enhance the capabilities and efficiency of the cloud data platform. Communicate complex technical concepts and strategies effectively to both technical and non-technical stakeholders, influencing decision-making and driving consensus. 20% domestic travel required. Must appear in office 2 days per week; WFH permissible 3 days per week.
Salary Range: $233,770 - $272,600
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
What You'll Do
1. Hands-On experience on specified technology stack - Azure Databricks, Containerization (Docker, Kubernetes), Kafka, SQL, NoSQL Databases in Azure, AWS or GCP cloud;
2. CI/CD practices and tools such as Jenkins, GitHub, Azure DevOps;
3. Data Warehousing, Data Lakes, Data Engineering, Data Science, Data Analytics, and Real-Time Data Streaming architectures;
4. Ability to collaborate effectively with various engineering partners to probe/ask questions, gather required information for cloud platform requirements, and participate as a value added cross-functional partner;
5. Knowledge of distributed data cloud platform with data governance, security, and compliance best practices;
6. Familiarity with Software Delivery LifeCycle, Agile and Scrum methodology; and
7. Cloud services cost, monitoring and optimization.
Who You Are
Bachelor’s degree or foreign degree equivalent in Computer Science, Computer Information Systems, Engineering, or related field and ten (10) years of progressive, post-baccalaureate experience in the job offered or a related role.
Gap集團為員工提供公平就業機會，並致力於提供無騷擾、無歧視的工作環境。 我們承諾招募、錄取、訓練及升遷所有符合資格的員工，不考量相關身分背景。在決定是否錄取時，也不會考慮應徵者是否具有任何特殊身分。 我們因長期致力於平等而獲獎無數，並將繼續營造一個多元、包容且歸屬感強的環境。 今年，我們連續第17年被人權運動組織評選為“最佳工作場所”之一（a href="https://www.hrc.org/resources/best-places-to-work-for-lgbtq-equality-2022"），同時公司還被納入2021年彭博性別平等指數（ ），這也是公司連續第四年被納入該指數。