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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный архитектурный уровень и актуальный набор инструментов Snowflake, но в сервисной компании проекты и приоритеты могут меняться вслед за запросами клиентов.
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Проектный форматАктуальные технологииПонятный уровень ролиГибридный формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Snowflake Architect (Snowflake): Designing and implementing scalable cloud data architectures, data models, and ETL/ELT pipelines with an accent on Snowflake administration, real-time processing, security, and cost optimization. Focus on optimizing query performance, integrating cloud platforms, implementing Snowpipe, Streams, Tasks, and Dynamic Tables, and providing technical leadership to data engineering teams.
Location: Jersey City, New Jersey, United States; hybrid workplace.
Company
hirify.global is a digital transformation services partner helping clients structure, sell, and deliver technology services.
What you will do
Design scalable, secure, and high-performance Snowflake data architectures and data models.
Develop ETL and ELT pipelines and data integration strategies using modern data platform tools.
Optimize query performance, resource utilization, and Snowflake costs through advanced tuning.
Implement Snowpipe, Streams, Tasks, and Dynamic Tables for real-time and batch data processing.
Ensure data security, governance, access control, and compliance across Snowflake and cloud environments.
Provide technical leadership to data engineering teams and translate business requirements into scalable data solutions.
Requirements
7–10 years of experience in data engineering, data warehousing, or cloud data platforms, including at least 4 years of hands-on Snowflake architecture and implementation.
Advanced expertise in Snowflake architecture and administration, including Time Travel, Fail Safe, and SnowSQL.
Strong SQL skills with advanced query optimization experience, plus PLSQL or T-SQL for stored procedures and database scripting.
Hands-on experience with Snowpipe, Streams, Tasks, and Dynamic Tables.
Experience with cloud data warehouse modeling, ETL and ELT development, and modern data platforms.
Python programming for data engineering and experience with DataStream for real-time data processing.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related discipline.
Nice to have
Experience integrating Snowflake with AWS, Azure, or GCP.
Expertise in data governance and compliance frameworks.
Familiarity with performance tuning and cost optimization in cloud data warehouses.
Knowledge of emerging Snowflake features and best practices.
Experience leading technical teams in enterprise data architecture.
Snowflake certification such as SnowPro Core or Advanced Architect.
Culture & Benefits
Employee position in the AI & Data Engineering department.
Hybrid work arrangement in Jersey City, New Jersey.
Equal employment opportunity for candidates regardless of protected characteristics.
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