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Vice President - Data Architect

India, Pune · Job Posted May 27, 2026
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Job Description

Join us at Barclays as a Vice President - Data Architect. In this role, you will play a key part in shaping and evolving our data architecture strategy, helping to enhance our trading applications across the organization enabling consistency, scalability, and better decision making across teams.

Job Responsibility

  • Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
  • Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
  • Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
  • Strategic architecture definition and product selection.
  • Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
  • Implementation of architectures and Identification, ownership and resolution of design related issues.
  • Definition and documentation of data architectures standards, principles and strategies.

Requirements

  • Investment Banking, including Financial Markets, Expertise
  • Strong understanding of Investments Banking and Financial Markets, including end-to-end trade lifecycles, market structures, and the flow of data across front‑to‑back processes (from client onboarding, trade capture through post-trade processing).
  • Enterprise Data Modelling & Architecture Leadership
  • Proven experience designing and driving adoption of unified data models (e.g., Client, Banking & Trade data representation), including shaping proposals and supporting their implementation across complex environments.
  • Advanced Data Architecture Capability
  • Deep expertise in data architecture disciplines, including: Data flow design
  • Logical and physical data modelling
  • Translating business and data requirements into scalable, implementable solutions
  • Engineering Collaboration & Delivery Enablement
  • Ability to work closely with engineering teams to deliver architectural outcomes across both upstream (trade capture) and downstream (post-trade) systems, ensuring alignment between design and implementation.
  • End-to-End Stakeholder Engagement
  • Strong stakeholder management skills, including: Engaging with business and technical teams to understand current-state trade capture and processing
  • Partnering across the value chain to drive alignment and adoption of data architecture standards.

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