Lead Data Migrations & AI Platform Engineer

FDE Times

Netherlands

Remote

EUR 133.000 - 169.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Snowflake seeks an AI-native Lead Migrations Forward Deployed Engineer to scope, architect and direct migration projects with customers. You will embed with clients to modernize data ecosystems on the Snowflake AI Data Cloud and guide teams in design, build, and deployment of data solutions.

You will mentor clients on data management, analytics, AI/ML capabilities, and BI integration, ensuring scalable pipelines, quality data, and optimized performance. Travel up to 20% may be required.

Qualifikationen

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Strong problem-solving and communication skills.
  • Proficiency in Python, Go, Java or C++ and AI/ML applications.

Aufgaben

  • Lead scoping, architecture and direction for Migration FDE teams with customers.
  • Design, build, and deploy robust data solutions on Snowflake.
  • Mentor client teams on data management, analytics, and AI capabilities.
  • Create scalable data pipelines and modern data architectures.
  • Analyze performance, optimize data models and queries.
  • Evaluate and implement modern data integration tools.

Kenntnisse

Python
Go
Java
C++
AI/ML fundamentals
Data modeling
Cloud data platforms
Communication
Independent work

Ausbildung

Bachelor's degree in Computer Science/Information Systems or related field

Tools

Snowflake platform

Jobbeschreibung

Snowflake seeks an AI-native Lead Migrations Forward Deployed Engineer to scope, architect and direct migration projects with customers. You will embed with clients to modernize data ecosystems on the Snowflake AI Data Cloud and guide teams in design, build, and deployment of data solutions.

You will mentor clients on data management, analytics, AI/ML capabilities, and BI integration, ensuring scalable pipelines, quality data, and optimized performance. Travel up to 20% may be required.

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