Назад
Company hidden
10 часов назад

Senior Data Architect (Databricks)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Architect (Databricks): Designing and scaling a unified data ecosystem transitioning to a modern Lakehouse architecture with an accent on integrating CRM, ERP, and product telemetry. Focus on building Bronze/Silver/Gold layers in Databricks, establishing data governance standards, and enabling end-to-end business visibility.

Location: Remote (UK)

Company

hirify.global is a global community creating technology to foster a neuroinclusive world by helping everyone understand and be understood.

What you will do

  • Design conceptual, logical, and physical data models connecting customer, product, and financial data across systems.
  • Define and scale Databricks Lakehouse architecture (Bronze/Silver/Gold layers) to support analytics and AI/ML use cases.
  • Establish "golden record" standards, data governance, and proactive data quality frameworks.
  • Align Salesforce (CRM) and Sage Intacct (ERP) data to support accurate revenue recognition and business insights.
  • Develop scalable data onboarding patterns to integrate acquired company data during M&A.
  • Implement data-as-code, CI/CD for data pipelines, and real-time event-driven architecture.

Requirements

  • 5+ years of experience in a senior data architecture role.
  • Strong expertise in cloud data platforms, specifically Databricks and Lakehouse environments.
  • Proven experience designing and implementing enterprise-scale data models.
  • Deep understanding of Salesforce data architecture and integration patterns.
  • Experience with cloud ERP systems (e.g., Sage Intacct, NetSuite, Workday) and financial data models.
  • Must be based in the UK.

Nice to have

  • Familiarity with AI/ML data readiness and advanced analytics use cases.
  • Exposure to event-driven architectures, APIs, and real-time data pipelines.
  • Experience with data-as-code practices, Git-based version control, and CI/CD for data workflows.
  • Knowledge of product analytics or SaaS telemetry data integration.

Culture & Benefits

  • Competitive salary with bonus opportunities.
  • Flexible work schedules and flexible time off plans.
  • Comprehensive health and wellness benefits.
  • Collaborative, innovative culture that values neurodiversity and different ways of thinking.
  • Career growth opportunities through professional development programs.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →