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HSBC hiring Data Architect

HSBC

Hyderabad, Telangana, India 2026-02-09 Est. INR 30k–60k

Estimated salary range

40% confidence

Source: Estimated from market data

30,000 INR 60,000
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Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are currently seeking an experienced professional to join our team in the role of Data Architect In This Role, You Will Day to day oversight and guidance of the Global Procurement Data Architecture, Communicate the value of Data Architecture Support line the Global Function as a subject matter experts as we build…

Job description

Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are currently seeking an experienced professional to join our team in the role of Data Architect In This Role, You Will Day to day oversight and guidance of the Global Procurement Data Architecture, Communicate the value of Data Architecture Support line the Global Function as a subject matter experts as we build out the Global Procurement data model Support tactical implementations with relevant expertise and insight around Global Procurement data Act as a broker between relevant stakeholders to connect people from across the organisation Support the development and implementation of architecture strategy and standards pertinent to the domain Adopt new practices, processes, operating model, techniques, products, services, technologies and standards where needed against identified use cases, via the appropriate governance bodies Act as the recognized data expert associated with the relevant domain, accountable design authority for data decisions and leadership of the appropriate governance bodies To be successful you will Data Platforms, Data Models, Data Tooling, Data Management and Governance Trusted Sources, Usage and Flow, Analytics, Visualization, Data Quality and Integrity, extensive knowledge of Data domain: Party Data, Relationship constructs and associated sub-domains Detailed knowledge of and experience in Financial Markets Supplier and Client data.

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