Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Четко структурированная вакансия уровня Lead в крупной компании с фокусом на современные практики работы с данными.
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Современный стекЧеткие обязанностиАутсорсинговая модель
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (Snowflake) (Cloud Data Platforms): Designing and implementing scalable cloud-based data platforms and analytics solutions with an accent on Snowflake, AWS, ELT architectures, and data modeling. Focus on optimizing data platforms, building dbt and SQL pipelines, and ensuring data quality, governance, and maintainability through automation and CI/CD.
Location: Remote, United Kingdom
Company
hirify.global operates in engineering and technology, with a focus on data and analytics solutions.
What you will do
Design and support scalable cloud-based data platforms and analytics solutions using Snowflake and AWS services.
Design, develop, and optimize ELT pipelines and data transformation workflows with dbt and SQL.
Define data models, data warehouse architectures, and source-to-target mappings for analytics and reporting workloads.
Gather stakeholder requirements and translate business needs into scalable technical solutions.
Support data ingestion, transformation, and orchestration across cloud-based data platforms.
Contribute to architecture discussions, platform evolution, performance optimization, documentation, and technical design throughout the project lifecycle from discovery and proof of concepts to production implementation.
Requirements
Proven experience designing modern data platforms and cloud-based data warehouse solutions.
Strong hands-on experience with Snowflake, including data modeling, performance optimization, and analytics workloads.
Experience designing and building ELT pipelines using dbt, SQL, and modern data engineering practices.
Strong expertise with AWS services supporting modern data platforms.
Proficiency in SQL and Python for data engineering and automation.
Experience with orchestration tools such as Apache Airflow or MWAA.
Understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns.
Familiarity with CI/CD practices, data quality validation, and version control for data engineering workflows.
Culture & Benefits
Remote work arrangement in the United Kingdom.
Equal opportunity employment regardless of protected personal characteristics.
Hiring process
Submit an application form; the hiring team will follow up.
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