Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает широкие задачи по архитектуре данных и понятные направления развития, но работа в консалтинге может означать смену клиентских проектов, а уровень самостоятельной ответственности описан не до конца.
?Клиентские проекты
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Big Data Architect (Data Technologies): Designing scalable data architectures and modern data platforms for clients across multiple sectors with an accent on integration, storage, processing, governance, and security. Focus on translating business needs into architecture solutions, modernizing data ecosystems, and supporting data-as-a-product models.
Location: Lisbon, Portugal; fully remote
Company
hirify.global delivers data, analytics, and artificial intelligence solutions that support digital transformation for national and international organizations.
What you will do
Design scalable data architectures aligned with business goals.
Define standards for data management, integration, and data use.
Contribute to secure, efficient modern data platforms and flexible data-as-a-product ecosystems.
Translate technical and business needs into practical architecture solutions with cross-functional stakeholders.
Promote data quality, governance, automation, and continuous improvement practices.
Monitor trends and new approaches in data and analytics.
Requirements
Degree or background in Computer Engineering, Telecommunications, Mathematics, Physics, or a related field.
Experience designing data architectures in business environments, including as a Big Data Architect, Cloud Architect, or Data Architect.
Exposure to any combination of Snowflake, dbt, Spark, Python, SQL, Databricks, Airflow, Kafka, AWS, Azure, or GCP is valuable; knowledge of all technologies is not required.
Ability to consider integration, storage, processing, and data consumption when designing solutions.
Ability to work with technical and business teams.
Basic understanding of data quality, automation, and governance practices.
Curiosity and interest in current data trends.
Working-level English required for collaboration in international environments.
Nice to have
Exposure to data platform modernization projects.
Familiarity with data-driven organizational models or governance approaches.
Experience with advanced analytics or AI initiatives.
Culture & Benefits
Strategic, high-impact projects for leading companies.
Autonomy to propose solutions, define standards, and participate in architecture decisions.
Continuous professional development with a path toward technical and strategic leadership roles.
Specialized, collaborative team focused on continuous learning.
Inclusive environment that values diversity and exchange of perspectives.
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