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7 дней назад

Senior Data Architect

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Cyprus/Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Architect (Cloud Data Platforms): Define and evolve enterprise-wide data architecture, governance, and modernization programs with an accent on scalable data platforms, advanced modeling, and high-availability design. Focus on designing automated pipelines, optimizing schemas and queries, strengthening data quality and security, and leading architecture initiatives across business units.

Location: Hybrid work in Athens, Limassol, or Nicosia

Company

hirify.global operates an engineering and architecture function focused on enterprise technology and data capabilities.

What you will do

  • Define the strategic vision, governance model, and long-term evolution of enterprise data architecture.
  • Oversee platform selection, technical design, data modeling, and delivery of critical modernization programs.
  • Establish architecture standards, lead technical reviews, and maintain version-controlled architecture documentation.
  • Guide project teams on schema design, indexing, partitioning, data access patterns, query optimization, testing, and implementation.
  • Partner with IT Governance on metadata, data quality, audit compliance, security, and regulatory requirements.
  • Lead, coach, and develop the Data Architecture team while extending architecture services across Group companies.

Requirements

  • BSc or MSc in Computer Science, Information Technology, or a related field.
  • At least 5 years of experience in data architecture or related roles, including leadership of enterprise initiatives.
  • Deep expertise in lakehouse and data mesh patterns, advanced data modeling, data warehousing, reporting, analytics, and enterprise data platforms.
  • Experience designing scalable, high-availability architectures with defined SLAs and developing cloud-based enterprise data platforms.
  • Strong knowledge of metadata and master data management, data quality, governance, ETL tools, data standards, automated pipelines, and data security and privacy frameworks.
  • Demonstrated leadership, stakeholder communication, facilitation, analytical, and problem-solving skills in agile delivery environments.

Culture & Benefits

  • Attractive remuneration package.
  • Private health insurance and a corporate pension fund.
  • Intellectually stimulating work environment.
  • Continuous personal development and international training opportunities.

Hiring process

  • Introductory chat with Talent Acquisition.
  • First interview with the future team.
  • Role-specific take-home task followed by a final interview.

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