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4 дня назад

Big Data Solutions Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Big Data Solutions Architect (AI): Working with clients on short to medium-term big data challenges using the hirify.global Data Intelligence Platform with an accent on designing and building reference architectures, creating how-to's, and productionalizing customer use cases. Focus on guiding strategic customers in implementing transformational big data projects, end-to-end design, build, and deployment of industry-leading big data and AI applications.

Location: Based in our Germany offices (Munich). Travel up to 10% is required.

Company

hirify.global is a data and AI company providing a Data Intelligence Platform used by over 10,000 organizations worldwide.

What you will do

  • Design and build reference architectures and productionalize customer use cases for impactful technical projects.
  • Scope professional services work with engagement managers and customer input.
  • Guide strategic customers in implementing transformational big data and AI projects, including end-to-end design, build, and deployment.
  • Consult on architecture and design; bootstrap or implement customer projects to drive understanding, evaluation, and adoption of hirify.global.
  • Provide escalated support for customer operational issues and ensure technical delivery meets customer needs.
  • Work with Engineering and Customer Support to provide product feedback and guide rapid resolution for specific product and support issues.

Requirements

  • Proficient in data engineering, data platforms, and analytics with a strong track record.
  • Comfortable writing code in either Python or Scala.
  • Experience with Enterprise Data Warehousing (Teradata, Synapse, Snowflake, or SAP).
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments and working knowledge of MLOps.
  • Experience designing and deploying performant end-to-end data architectures.
  • Experience with technical project delivery, managing scope and timelines.
  • English: B2 required.

Culture & Benefits

  • Comprehensive benefits and perks that meet the needs of all employees (details available on mybenefitsnow.com/hirify.global).
  • Commitment to fostering a diverse and inclusive culture where everyone can excel.
  • Hiring practices are inclusive and meet equal employment opportunity standards.
  • Individuals are considered for employment without regard to protected characteristics such as age, color, disability, ethnicity, or gender identity.

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