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2 дня назад

Data Solution Architect (RegTech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Solution Architect (RegTech): Designing and owning scalable, secure, and high-performing data architectures for regulatory intelligence SaaS with an accent on data modeling, integration patterns, and system scalability. Focus on translating complex business requirements into production-grade solutions and providing technical leadership across global engineering teams.

Location: Hybrid in London, UK

Company

A global RegTech business providing AI-powered SaaS solutions to simplify regulatory compliance for the financial services industry.

What you will do

  • Design and own end-to-end data solution architectures ensuring scalability, performance, and security.
  • Translate complex business and product requirements into clear architectural designs and technical standards.
  • Provide technical leadership and guidance to engineering teams to ensure adherence to architectural principles.
  • Review and approve solution designs, code, and implementations for quality and consistency.
  • Lead the identification and resolution of complex technical issues and performance bottlenecks.
  • Define and support the implementation of CI/CD, testing, and deployment strategies.

Requirements

  • 7+ years of experience in data architecture, software engineering, or technical leadership.
  • Proven track record of delivering scalable data solutions in production environments.
  • Expertise in data modeling, system design, and integration patterns.
  • Strong experience with SQL and data processing at scale.
  • Experience with ETL tools (e.g., SSIS) and programming languages such as Python.
  • Strong communication skills for translating technical concepts to non-technical stakeholders.

Culture & Benefits

  • Fast-paced, high-performing "make it happen" culture that empowers ownership.
  • Opportunity to work with cutting-edge AI research and engineering.
  • Collaborative global environment with teams spanning 19 countries across EMEA, Americas, and APAC.
  • Strong emphasis on accelerated personal and professional development.

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