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

大数据架构师

-K
深圳某中型智能硬件公司

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 landscape simplification and cost efficiencies. Strategy* • Own and drive the overall target Functions Data and Reporting Architecture. Key areas include the 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 Architeckanzhunture. Promote streamlined approaches across the different Functions domains, where applicable. • Collaborate with Domain and Solution Archite来自BOSS直聘cts 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 domain data architects to drive data model convergence, data management governance and to drive towards modern data architecture standards, 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 acrossBOSS直聘 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 analytic来自BOSS直聘s/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
  • 10年以上
  • 本科
  • 要求数据开发/架构经验
  • 要求有数据开发经验
  • 要求有数据架构经验
  • 数据平台开发经验
  • 10年以上
  • Spark
  • Hive
  • Flink
  • HBase
  • Kafka
  • Java
  • Python
  • Scala
  • 计算机相关专业
  • 数据平台架构经验

岗位职责: 1、把控技术发来自BOSS直聘展方向,负责公司数据中boss台、业务平台等整体技术架构的总体规划及方案的制定,并组织实施; 2、负责大数据治理及管理 (元数据、数据标准、数据质量、数据安全、数据资产目录等)方案设计、架构设计及技术选型; 3、负责相关产品的功能流程设计,带领技术团队完成对于平台整体搭建,建立完善的数据采集、分析、监控体系,包括数据仓库搭建、数据清洗、数据整kanzhun理,推动相关方案落boss地; 4、理解行业需求和公司战略意图,指导并参与核心代码研发,组织解决开发过程中的重大技术问题,技术难点的攻关与预研; 5、 建立规范高效的各种研发部门流程(如产品开发流程.产品发布流程等)及过程的质量控制,并不断完善。 任职要求: 1、全日制本科及以上学历(学信网可查),计算机、数学等相关专业,8年以上互联网数据方向架构师工作经验; 2、精通大数据架构及开发,具备企业级数据仓库经验,具有较复杂系统模型的设计和规划能力,有高并发、大数据处理经验; 3、精通各种数据相关技术体系:Hadoop、Spark、Storm、机器学习、深度学习等;深刻理BOSS直聘解大数据处理(流计算、分布式计算、分布式文件系统、分布式存储等相关技术和实现方法,有架构和设计实践经验; 4、熟悉MySQL/Oracle/ Redis等主流数据数据库实操和优化技术;精通java、scala、python、R中的一种或多种语言; 5、具备出色的商业嗅觉,业务理解能力和沟通能力强,深入理解数据中台和业务中台的产品定位,对技术发展方向和趋势有清晰的判断。

技能解析

    暂无识别出相关技能要求

    技能解析

    专有技能
    • 产品开发
    • 方案设计
    • 数据仓库
    • 技术问题
    • 数据质量
    • 分布式计算
    • 技术发展
    • 流程设计
    • 理解能力
    • 架构设计
    • 分布式存储
    • 理解数据
    • 开发流程
    • 质量控制
    • 建立完善
    • 数据整理
    • 开发过程
    • 数据架构
    • 机器学习
    • 沟通能力
    • 优化技术
    • 数据相关
    • 沟通能力强
    • 数据处理
    • 数据安全
    • 深度学习
    • 产品定位
    • 数据处理经验
    • 技术架构
    • 数据清洗
    • 规划能力
    • 产品开发流程
    • 数据治理
    • 业务理解能力
    • 多种语言
    • 数据采集

      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

      公司福利

      • 节日福利
      • 团建聚餐
      • 零食下午茶
      • 餐补
      • 员工旅游
      • 带薪年假
      • 法定节假日三薪
      • 绩效奖金
      • 年终奖
      • 定期体检
      • 五险一金

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      更新于 2025-04-28