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обновлено 4 дня назад

Senior Data Architect (Finance)

Формат работы
remote (только Europe)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Poland/Romania +6 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 Architect (Finance): Designing data solution architectures and leading data platform and transformation initiatives with an accent on data governance, modeling, security, integration patterns, and non-functional requirements. Focus on guiding implementation from requirements through production, advising financial-services clients, and evaluating architecture across complex data programs.

Location: Remote or in-person in Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Monterrey, Montevideo, Rosario, Riga, Sofia, Varna, Warsaw, Wroclaw, or remote from Argentina, Brazil, Bulgaria, Colombia, and Poland.

Company

hirify.global delivers software engineering and data and analytics solutions through global projects and distributed R&D centers.

What you will do

  • Communicate directly with business stakeholders and guide clients through complex data transformation initiatives.
  • Define technical aspects for development teams and justify architectural decisions.
  • Lead solution implementation from requirements gathering and goal definition through production go-live.
  • Design and evaluate solution architectures covering data governance, data management, data structures, security, integration patterns, and non-functional requirements.
  • Participate in the full sales and pre-sales lifecycle and lead architecture assessment activities.

Requirements

  • 7–10+ years of experience in data architecture, technology, consulting, or engineering leadership, or experience delivering 7–10+ projects, programs, or initiatives.
  • Hands-on experience leading data and analytics projects and presenting solutions to senior stakeholders.
  • Strong financial-services experience, especially in insurance or investment management.
  • Strong foundations in data management, architecture, governance, engineering, analytics, DataOps, data modeling, data quality, metadata, warehouses, lakes, lakehouses, data mesh, data fabric, distributed systems, and ETL/ELT.
  • Experience with AWS, GCP, Azure, Snowflake, Databricks, and other data and analytics tools.
  • Proficient English, strong communication skills, sales and pre-sales experience, and flexibility for 3–7 business trips per year lasting 1–2 weeks.

Nice to have

  • Consulting or professional-services experience, including sales engineering or pre-sales engineering.
  • Consultative sales or sales engineering experience in data and analytics.
  • Knowledge of finance-industry trends and experience developing value propositions for data and analytics solutions.

Culture & Benefits

  • Vacation according to the laws of the country of employment.
  • Health insurance support for employees and their loved ones.
  • 10 days of sick pay without a doctor’s note, followed by country-specific statutory terms.
  • Time off for state holidays according to the official calendar, regardless of the client’s schedule.
  • IT certification and learning-platform cost support, plus team events and workplace comfort services.

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