В Snowflake это ведущая инженерная роль с заметной ответственностью за миграции данных и развитие продукта, хотя широкий круг задач и поездки могут заметно влиять на повседневную работу.
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Широкая зона ответственностиПоездки по работеАктуальные технологииВлияние на продуктФокус на AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Migrations Forward Deployed Engineer (AI): Leading architecture, modernization, and implementation of customer data and application ecosystems on the Snowflake AI Data Cloud with an accent on scalable data pipelines, data architecture, and AI/ML solutions. Focus on designing migration tooling, optimizing data models and processing workflows, and solving complex technical challenges in client environments.
Location: Remote in the Netherlands or Germany; travel up to 20% may be required.
Company
Snowflake provides the AI Data Cloud, helping customers modernize data and application ecosystems and build data-driven and AI solutions.
What you will do
Lead architecture and technical direction across migration projects and customer-focused Forward Deployed Engineer teams.
Design, build, and deploy software systems, migration tooling, automation, scalable data pipelines, and modern data architectures on Snowflake.
Contribute to Snowflake product development through prototypes, feature development, and problem resolution.
Provide technical guidance, mentorship, and training to client teams on data management, analytics, AI/ML, and reporting or BI integration.
Optimize data models, queries, and data-processing workflows for performance, efficiency, data quality, integrity, and cost-effectiveness.
Evaluate modern data integration tools, troubleshoot technical and operational issues, and resolve performance bottlenecks.
Requirements
Prior experience working with customers on complex, multi-faceted projects.
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Excellent problem-solving, analytical, and communication skills.
Proficiency in programming or scripting languages such as Python, Go, Java, or C++.
Experience developing AI/ML applications.
Strong understanding of data modeling, data warehousing, data lake concepts, and cloud data platforms.
Ability to work independently and collaboratively in a client-facing environment.
Up to 20% travel to collaborate with teams and stakeholders.
Confidentiality and security standards are an essential part of the role, including protecting customer information.
Work in an experimental, fast-moving environment focused on AI-native ways of working and challenging ordinary thinking.
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