职位&公司对比

职位关闭

Data Solution Architect,英文口语流利

-K·薪
某大型上市银行公司
招聘中
某500强上市公司

职位详情

  • 广州
  • 10年以上
  • 本科
  • 要求数据开发/架构经验
  • Python
  • 要求有数据架构经验
  • 数据平台架构经验
  • 数据仓库架构经验
  • Spark
  • Hive
  • 金融行业经验

JOB SUMMARY* The purpose of this role is to own and drive the target Functions Data and Reporting Architecture for all Group Functions domains and look at data architecture end to end within Functions, including Application centric data ETL/processing and Data Platforms/Warehouse/Marts/Lake, upstream sourcing and downstream consumption. This will then help to drive standardisation and consistency across the Functions domains, with a view of landkanzhunscape simplification and cost efficiencies. Strategy* • Own and drive the overall target Functions Data and Reporting Architecture. Key areas include tkanzhunhe technology stack to be used, data principles, best practices and standards, streamline and simplify data architecture landscape through elimination of duplicated data stores, enhance governance where applicable. • Provide architecture direction, guiding principles, guardrails and roadmaps to ensure that the target Functions Data and Reporting Architecture are aligned to the wider Group Architecture Strategy, Policy and Standards. • Drive architecture standards for Data Governance and Management (Data Quality, Lineage, Privacy, Data Sovereignty, Data Discoverability) • Collaborate with the wider architecture community across Bank, represent Functions in the wider technology organisation on data topics. • Collaborate with the technology teams from the various Global Functions domains to define the target architecture and any transition states if necessary. Manage and track technical debt where applicable. • Work with Domain and Solution Architects, to review and ensure solutions/projects are aligned to the target Functions Data and Reporting Architecture. Promote streamlined approaches across the different Functions domains, where applicable. • Collaborate with Domain and Solution Architects to identify and recommend data patterns and best practices, product evaluations and/or Proof of Concepts for new technologies where applicable. • Optimize business alignment and maximize value on investments by aligning technology decisions with business imperatives leading to cost optimisation (cost avoidance & cost reduction), as well as ensuring fit for purpose platforms. • Identify opportunities to establish common patterns across Group Functions to drive down the cost of change for our Businesses. This includes designing for change and prioritising Agility and Adaptability. • Contribute to BCBS by driving data architecture in alignment with regulatory and strategic priorities. Business* • Collaborate with CDO and Business dom直聘ain data architects to drive data model convergence, data management governance and to drive towards modern data architecture sbosstandards, e.g. data mesh • Improve cost efficiency – drive efficiency by identifying opportunities to rationalise to a fewer best of breed platforms which provides strategic business capability and aggressively decommission redundant applications. • Contribute to investment planning/prioritisation with the businesses and T&I. • Driving and enable cloud adoption and modernisation of technology landscape across Group Functions whilst balancing regulatory requirements like data sovereignty and cloud approvals and data security. Qualifications • This role requires 15-20 years of relevant experience, covering the design and governance of architecture, with at least 10-15 years in a hands-on role for data and/or analytics/big data domains in the Finance sector. Experience in large, complex organisations, ability to handle cultural diversity and managing senior stakeholders is essential to this role. • Significant experience to BigData technologies like Cloudera/Hadoop suites, Spark, Talend etc and internal build at major banks or FS institutions is essential.

职位详情

  • 广州
  • 5-10年
  • 硕士
  • Java
  • Python
  • 旅游行业数据相关经验
  • 大数据平台架构经验

工作职责 1、核心算法能力打造:带领分析建模团队完成核心算法模型的构建,打造产品核心能力。 2、数据服务能力产品化打造:创意和设计好的数据服务能力产品雏形,支撑时空大数据产品的设计研发; 3、前沿技术攻关:包括不局限于预训练大模型(含CV、NLP、多模态等)等探索性算法调研、预研和实现、分布式算法架构设计、实现与调优; 4、牵头组建算法模型团队,负责团直聘队人员分工BOSS直聘、技术和产品研发工作,具备架构、技术和代码层面的实操指导作用。 工作要求 1、硕士以上学历,计算机、通信、数学等相关专业,8年以上工作经验,并曾在国内头部科技创新企业或科研院所工作三年及以上; 2、熟悉和掌握业界主流的分布式计算架构和技术框架,包括并不局限于Hadoop、Spark、Hbase、Flink等,具备流批一体算法系统研发经验; 3、熟悉Linux开发环境,至少掌握Scala、Python、Java、C++等开发语言中的一种,精通Pytorch/TensorFlow中的一种; 4、数学基础扎实,熟悉深度学习与分布式算法,能够清晰理解算法基本原理及实现方法,并对大模型算法和大规模计算有深入理解,有大规模分布式算法相关开发来自BOSS直聘经验者; 5、具有独立设计和开发大模型系统的经验,能够独立完成从数据处理、模型训练到模型部署的全流程; 6kanzhun、有过深度学习平台开发或大模型全流程开发相关经验者优先; 7、在顶级国际期刊或国际会议上发表论文,或参加相关国际比赛获奖,及持有相关专利者优先; 8来自BOSS直聘、具备良好的团队合作精神和沟通能力。

技能解析

    暂无识别出相关技能要求

    技能解析

    专有技能
    • 数学基础
    • 分布式计算
    • 技术框架
    • 算法能力
    • 架构设计
    • 算法相关
    • 研发工作
    • 沟通能力
    • 开发经验
    • 科技创新
    • 模型训练
    • 合作精神
    • 基础扎实
    • 数据处理
    • 团队合作精神
    • 数据产品
    • 深度学习
    • 数据服务
    • 团队合作
    • 基本原理
    • 开发相关
    • 产品研发
    • 研发经验
    • 算法模型
    • 开发环境
    • 模型算法
    • 开发语言

      数据来自CSL职业科学研究室

      公司福利

      • 五险一金
      • 补充医疗保险
      • 定期体检
      • 加班补助
      • 年终奖
      • 带薪年假
      • 免费班车
      • 免费午餐

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      更新于 2025-05-04