eMagine Solutions

Break into Consulting. FinTech / Banking

We are working with an award-winning consultancy who are looking for a Data Architect to take a key role in the end to end solution design and engineering leadership for client engagements from pre-sales through to go-live.

Working with leading banks and fintechs looking to revolutionise the market, no day will be the same. As a Data Architect, you will work as part of a specialist team of Architects and Consultants to deliver best in class solutions, in areas such as payments, banking, and data.

You will be responsible for:

• Creating and owning data architecture deliverables at various levels - for example, logical data models, data governance plans, data integration roadmaps, and data storage / management / access tooling options

• Understanding the business and organisational context of client engagements and using this knowledge to highlight and maximise the value of data assets to the client

• Advising client and internal staff on best practices and on emerging tools and methods in the data space

• Playing a senior role in pushing client projects to delivery, interacting with IT teams, and business stakeholders as necessary

Some of the experience required for the Data Architect role includes:

• A strong architecture background with some advisory or consultancy experience

• Good understanding in Conceptual, Logical and Physical data models

• Understanding Data Standards role in systems integration (API, protocols)

• Experience of Relational and NoSQL data, along with the best practices in the two areas

• Understanding of various modelling notations, like Entity relationship diagrams and UML

• Familiarity with Data Management agenda (e.g. Ontology, Semantics, Data Glossaries, Compliance, Data Controls, Master and Reference Data Management)

• Understanding Data Lineage concepts

• Understanding of JSON and XML notation and integration with data storage systems

• Data on Cloud (including on to off-premise integration)

• The ability to communicate efficiently

• Familiarity with data quality, storage, analysis and access solutions

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