5 дней назад
Data Architect (Travel)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
’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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