Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Data Architect (UK)

leadFleet, GB, GBСкор 62.5/100сегодня
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
azureci/cddatabricksdbtdevopsembeddingsllmllmopsproduct ownerpythonsqlterraform
Показать компанию и ссылку
Бесплатно. Вход по почте.
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success. As a Data Architect at Quantios, you will own the architecture of Quantios Insights, our multi-tenant analytics platform. Built on Azure Databricks and Unity Catalog, Insights unifies data from all Quantios products and powers analytics, regulatory insights, MCP-based data access, and AI-driven capabilities for regulated financial services customers. You will define the architectural standards, models, integration patterns, and governance frameworks that keep the platform reliable, scalable, secure, and demonstrably isolated between customers. This is a hands-on role: you will set the standard through working code and documented patterns, using SQL, Python, and dbt in your daily work. This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into RAG pipelines, LLM evaluation frameworks, and strategic AI initiatives across the business. You will collaborate closely with Data Engineers, LLMOps Engineers, Product Owners, Portfolio Architects, and engineering teams to shape Quantios’ data and AI ecosystem. Job Re
Полное описание, компания и ссылка на вакансию — после входа. Войти
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs