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

大数据架构专家

-K
  • 汽车研发/制造
  • 不需要融资

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 organis来自BOSS直聘ation 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 来自BOSS直聘drive d直聘own 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 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
  • 10年以上
  • 本科
  • 要求数据开发/架构经验
  • 要求有数据架构经验
  • 数据平台架构经验
  • 其他数据架构经验
  • Spark
  • Hive
  • Java
  • 其他
  • 计算机相关专业
  • 数学/统计相关专业

岗位职责: 1.负责大数据项目整体架构规划,包括应用架构/技术架构/物理架构和数据架构等; 2.负责指导工程师进行技术验证与实现,核心技术问题的攻关,解决项目开发过程中的技术难题; 3.根据项目业务需求,设计架构方案,撰写核心代码,并为系统提供性能调优.架构优化重组,解决关kanzhun键问题和技术难题; 4.根据公司项目和业务发展特点,负责研究相关大数据前沿技术; 5.负责项目对外技术沟通,负责营造团队技术氛围,推动技术能力的沉淀; 6.持续挑战新的技术方向,攻克大数据量,高并发,高稳定性,易用性等各种技术难点。 任职要求: 1. 计算机科学、软件、数学等相关专业毕业,10年以上工作经验,8年以上大数据相关经验; 2.有丰富的大数据kanzhun及服务端项目研发和架构经验; 3.精通Java等主流编程语言,熟悉JVM原理及调优; 4.精通Hadoop生态及高性能缓存相关的各种工具并有实战经验,包括但不限于hadoop/hive/park/impala/elaticearch/druid/redi/hbae/kafka/flume等,有Flink经验者更佳; 5.熟悉微服务(BOSS直聘如SpringBoot),熟悉开源服务框架(如Dubbo/Grpc); 6.熟练使用Linux/Unix等操作系统,具备编写hell的能力; 7.有超PB级别大数据处理实战经验,熟悉整个大数据的完整处理流程,包括数据的采集/清洗/预处理/kanzhun存储/分析挖掘和数据可视化,以及架构设计/开发boss/部署/自动化运维等工作; 8.有优秀的业务理解能力,能理解清楚业务并进行合理的架构设计; 9.具有较强的沟通能力,工作态度积极主动.细致.有全局观,有较强的抗压能力,良好的团队合作意识;

技能解析

    暂无识别出相关技能要求

    技能解析

    专有技能
    • 应用架构
    • 性能调优
    • 强的沟通能力
    • 合作意识
    • 技术问题
    • 编程语言
    • 理解能力
    • 解决关键问题
    • 架构设计
    • 自动化运维
    • 技术架构
    • JVM原理
    • 团队合作
    • 项目整体
    • 开发过程
    • 数据可视化
    • 数据架构
    • 沟通能力
    • 技术难题
    • 业务理解能力
    • 团队合作意识
    • 数据相关
    • 数据处理
    • 架构优化

      数据来自CSL职业科学研究室

      工作时间

      上午08:30   -   下午05:30
      双休弹性工作

      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

      • 交通补助
      • 生日福利
      • 节日福利
      • 通讯补贴
      • 免费班车
      • 免费工装
      • 住房补贴
      • 餐补
      • 员工旅游
      • 带薪年假
      • 全勤奖
      • 法定节假日三薪
      • 节假日加班费
      • 企业年金
      • 绩效奖金
      • 年终奖
      • 定期体检
      • 意外险
      • 补充医疗保险
      • 五险一金

      备注

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      更新于 2025-04-28