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Senior Data Designer (Data Warehouse)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Poland/Armenia +5 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Data Designer (Data Warehouse): Designing and documenting enterprise data warehouse models, source-to-target mappings, ingestion designs, and transformation logic with an accent on dimensional modeling, source-data analysis, and data quality. Focus on clarifying business requirements, profiling data, investigating root causes of data issues, and guiding designs through peer review.

Location: Armenia, Bulgaria, Cyprus, Georgia, Latvia, Poland, Romania, or Serbia

Company

hirify.global delivers software engineering and data platform solutions for complex business domains.

What you will do

  • Design and document enterprise data warehouse objects, including dimensional models, source-to-target mappings, model diagrams, and implementation documentation.
  • Work with business stakeholders and source-system subject matter experts to onboard data sources and adapt designs to source capabilities.
  • Clarify business intent and requirements before designing solutions.
  • Profile and analyze source data, define data quality rules, and validate design assumptions.
  • Investigate data issues, identify root causes, and propose design-level fixes.
  • Participate in peer and design reviews while keeping stakeholders informed and unblocked.

Requirements

  • Strong practical experience with dimensional modeling and designing warehouse models from raw source data.
  • Hands-on experience creating source-to-target mapping documentation.
  • Understanding of data platform layering and data load approaches.
  • Confident SQL skills for data profiling and validation.
  • Strong written and spoken English, including requirements gathering and stakeholder expectation management.
  • Attention to detail and experience working with design reviews, governance standards, and data privacy or PII classification requirements.

Nice to have

  • Experience with SAP as a source system.
  • Retail domain experience.
  • Agile delivery experience.

Culture & Benefits

  • Work in a small data team of 1–10 people.
  • Collaborate with data designers, data engineers, and platform specialists.
  • Operate in an agile environment with active knowledge sharing.
  • Follow established data design standards and review practices.

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