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5 дней назад

Data Architect (Travel)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Architect (Travel) (Data Governance/Data Management): Designing and guiding robust data solutions for travel-focused organizations with an accent on data architecture, cloud platforms, data warehouses, and data governance. Focus on leading data transformation initiatives, defining integration and non-functional requirements, solving complex data modeling and pipeline challenges, and supporting client-facing pre-sales activities.

Location: UK

Company

hirify.global’s Data & Analytics team designs and implements modern data and analytics solutions for mid-sized and large organizations, operating remotely across multiple R&D centers.

What you will do

  • Design and guide the implementation of robust data solutions for travel-focused organizations.
  • Communicate directly with business stakeholders and translate business needs into technical requirements.
  • Explain architectural decisions and provide technical direction to development teams.
  • Lead solution delivery from project requirements and goals through go-live.
  • Guide clients through complex data transformation initiatives and assess solution architecture.
  • Participate in the full sales cycle, including pre-sales activities.

Requirements

  • 5+ years of experience in Data Architecture or Data Engineering, or experience completing 5–10 projects.
  • Background in Data Governance and Data Management.
  • Experience with Azure, AWS, or GCP.
  • Experience with data warehouse and data platform technologies such as Snowflake or Databricks.
  • Strong SQL skills, including designing, writing, and maintaining complex queries.
  • Experience in the Travel domain, data pipelines, ETL, data modeling, data quality, metadata management, data warehouse and data lake patterns, and distributed systems.

Nice to have

  • Understanding of sales engineering or consulting roles.
  • Familiarity with value propositions in Data & Analytics sales.

Culture & Benefits

  • Remote work environment.
  • Collaboration within a data and analytics team of more than 20 people.
  • Work across multiple R&D centers and client organizations.

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