Data Architect - The Fuel Group Limited

ZipRecruiter; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a skilled Payments Data Architect to spearhead the development of ISO 20022 solutions for a major high street bank. This exciting role combines leadership with technical expertise, focusing on creating a robust reference architecture for a data marketplace model. Ideal candidates will possess strong data skills and experience in designing solutions that leverage modern technologies like Kafka and ETL. Join a dynamic team where your contributions will play a pivotal role in shaping the future of payment data architecture. If you have a passion for data and payments, this opportunity is perfect for you.

Qualifications

• Extensive experience in payments and data architecture.
• Strong skills in designing solutions for payments data.

Responsibilities

• Lead initiatives for designing reference architecture for data marketplace models.
• Establish blueprints for payment data products.

Skills

ISO 20022

Payments Data

Data Architecture

Kafka

ETL

APIs

AI Integration

Tools

Modern Database Technologies

Job description

Job Description

Our consultancy client is seeking an experienced Payments Data Architect to focus on delivering ISO 20022 and managing multiple ongoing workstreams for a major high street bank. You should have prior experience in payments and data, with a deep understanding of ISO 20022. This role is more aligned with a lead solution architect with data expertise rather than a pure data architect.

You will support and lead strategic initiatives around designing reference architecture for a data marketplace model and payment data products within a single reusable data enterprise model. The reference architecture is still in development, and the blueprint needs to be established with key components.

Strong data skills are essential, including designing architecture and solutions for payments data, utilizing technologies such as Kafka, ETL, modern database technologies, and understanding their operational aspects. Experience with distributed systems, data transfer between systems, data persistence in various stores, and making data accessible via APIs is required. Additionally, the ability to consider AI integration options is desirable.

The role may require occasional travel to client sites and is classified as inside IR35.