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6 дней назад

Lead Data Architect

Формат работы
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 (Canonical Data Platforms): Leading discovery and data modelling for a new canonical data platform in the media sector with an accent on source-to-target mapping, data lineage, and business semantics. Focus on analysing complex legacy datasets, defining entities and relationships, and translating architectural models into implementable solutions for data engineering teams.

Location: European Union; Workplace: Hybrid

Company

hirify.global is an AI transformation and technology consulting partner delivering secure API architectures, cloud-native engineering, and advanced technology solutions across multiple industries.

What you will do

  • Lead discovery and data modelling for a new canonical data platform in the media sector.
  • Work with business users, domain experts, architects, and engineering teams to define data requirements, concepts, use cases, and measures.
  • Inventory, analyse, and profile datasets, feeds, schemas, and poorly documented legacy data structures.
  • Define entities, relationships, grain, semantics, source-to-target mappings, lineage, and data quality findings.
  • Document schemas, assumptions, data definitions, risks, dependencies, and architectural decisions.
  • Act as the technical owner of the canonical model and help data engineering teams turn it into an executable delivery plan.

Requirements

  • Strong experience in data architecture and data modelling, including canonical and dimensional modelling across complex business domains.
  • Ability to translate business concepts, source structures, and stakeholder requirements into coherent, implementable data models.
  • Strong understanding of entities, relationships, grain, semantics, business measures, mappings, lineage, and data quality.
  • Strong SQL skills for exploring and profiling data across multiple sources.
  • Experience with large-scale analytics or enterprise data platforms and modern lakehouse architectures.
  • Excellent stakeholder engagement, communication, and documentation skills, with a proactive approach to ambiguous data problems.

Nice to have

  • Exposure to cloud-based data ecosystems, particularly AWS and/or Snowflake.
  • Familiarity with AWS data services such as S3 or Glue.
  • Experience with media, audience, advertising technology, content analytics, or similarly complex behavioural data.

Culture & Benefits

  • Remote-work support with a monthly work-from-home allowance, alongside the role's hybrid workplace arrangement.
  • Career development through a 360-degree feedback program.
  • Dedicated time for technical training, including online courses, English classes, books, conferences, and events.
  • Mentoring opportunities for both mentors and mentees.
  • Wellbeing support through mental health, nutrition, physiotherapy, fitness, and specialist webinar sessions.
  • Multicultural working environment with technical events, webinars, and online team-building activities.

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