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| Job Location | Sheffield |
| Education | Not Mentioned |
| Salary | £50,000 - £60,000 per annum, pro-rata |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data Architect (Sheffield)This is an exciting opportunity to work for a Bank based in Sheffield City Centre. The successful Data Architect will be responsible for designing and implementing the enterprise wide data strategy as part of the architecture team, ensuring the strategy support the current and future business needs.The successful candidate will have strong collaboration experience with Business and IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business.The Data Architect will be expected to:·Develop and evolve the enterprise wide data strategy to support delivery of corporate objectives·Build a framework of principles to ensure data integrity across the business (including but not limited to ERP, CRM, BI, Data warehouse, external interfaces etc.)·Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies·Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards·Support third party data suppliers in developing specifications that are congruent with the Enterprise data architectureExpected knowledge and experience:·Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms, Master data Management, data integration and OLTP database solutions·Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions·Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data·A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores·Experience of architecting data solution across hybrid (cloud, on premise) data platforms·A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake, other analytics products·Experience implementing data solutions Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including; normalisation, OLAP / OLTP principles and entity relationship analysis·Experience of mapping key Enterprise data entities to business capabilities and applications·A strong knowledge of horizontal data lineage from source to output Required skills
Keyskills :
Data Financial Services Data Architecture Enterprise Data