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10 дней назад

Lead Data Architect (Snowflake)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Architect (Snowflake): Owning and evolving Virta's data platform, shared entity model, governance, and semantic layer with an accent on Snowflake architecture, dimensional and domain modeling, and hands-on data engineering. Focus on harmonizing data across operational and analytical systems, building reference implementations and data contracts, and forming a 3–5-person data team.

Location: Hybrid from Helsinki preferred; remote possible within European operating countries.

Company

hirify.global develops electric vehicle charging and energy flexibility solutions for the European mobility and energy market.

What you will do

  • Own the target data architecture, including warehouse layers, modeling standards, and ingestion patterns.
  • Harmonize organizations, legal entities, contracts, and commercial relationships across operational and analytical systems.
  • Design practical governance for data ownership, definitions, quality, access, data contracts, and monitoring.
  • Write reference implementations, critical-domain dbt models, reusable patterns, and production data code.
  • Shape the semantic layer for embedded product analytics and internal reporting.
  • Build and lead a 3–5-person data team, advise product and engineering teams, provide data-literacy training, and support architecture due diligence for integrations and acquisitions.

Requirements

  • 8+ years of experience in data engineering or data architecture, including at least 3 years owning architecture decisions used by other teams.
  • Proven team leadership and talent development experience.
  • Ability to collaborate in a matrix organization and translate business reality into data structures.
  • Deep, current Snowflake expertise across modeling, performance, cost management, security, and access design.
  • Strong dimensional and domain modeling skills, including experience harmonizing an established data model across multiple systems.
  • Production-level SQL and Python, or another language used for data work; continued weekly hands-on coding is expected.
  • Experience with modern transformation and orchestration tooling, ownership models, data contracts, and practical data quality monitoring.
  • Competence using AI tools in professional work, with judgment about where they are useful.
  • Strong English communication skills.

Culture & Benefits

  • Founding-level ownership of the data platform, architecture, team, and data practices.
  • Direct reporting to the VP of Engineering.
  • Work on regulated, fast-moving, data-intensive electric mobility and energy products in Europe.
  • Hybrid work from Helsinki is preferred, with remote work possible within European operating countries.

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