Data Architect

Our client is a leading British bank. Join us at our client as a Chief of Data Analytics 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 organisation enabling consistency, scalability, and better decision making across teams.

To succeed as a Data Architect, you should have experience in the following: Financial markets experience, with an advanced understanding of trade lifecycles, market structures, and data flows across front-to-back processes.

Developing proposals for a unified trade data model/representation and supporting its implementation. Expertise in data architecture including data flow design, logical and physical data modelling and translating data requirements into solutions that you will work closely with engineering teams to implement.

Collaborating closely with engineering teams to deliver changes across upstream systems (trade capture) and downstream systems (post-trade processing). Stakeholder engagement, including understanding how trades are currently captured and processed, and partnering with business and technical teams across the value chain.

Other highly valued skills include: Previous experience working in front office environments. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is in London. Purpose of the role To design, implement, and maintain conceptual, Logical and Physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.

Accountabilities 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.

Vice President Expectations To contribute or set strategy, drive requirements and make recommendat...

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