职位&公司对比

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 Reportbossing 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 throughbossboss 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 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 provideskanzhun 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. Qualificationkanzhuns • 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.