Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаСовременный стекШирокая ответственностьЭнергетика и транспорт
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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