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Data & AI Platforms Solution Architect

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France/UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI Platforms Solution Architect (AWS/Databricks): Designing and evolving scalable data and AI platform architectures with an accent on cloud platforms, data engineering, governance, and architectural standards. Focus on defining reference architectures, aligning platform and data engineering teams, and solving complex platform optimization and solution design challenges.

Location: Paris, France

Company

hirify.global is a global biopharmaceutical company focused on transformative medicines in oncology, rare disease, and neuroscience.

What you will do

  • Design and evolve data and AI platform architectures.
  • Define reference architectures and best practices for data and AI use cases.
  • Work hands-on with project teams to design pragmatic, scalable solutions.
  • Align platform engineering and data engineering teams to maximize reuse and consistency.
  • Contribute to the platform roadmap by identifying gaps, improvements, and optimization opportunities.
  • Participate in architectural governance and promote best practices in cloud, data architecture, and AI usage.

Requirements

  • Approximately 8+ years of experience in data, platform engineering, or solution architecture.
  • Strong experience designing data and AI platforms and cloud-based data solutions.
  • Hands-on expertise with AWS and Databricks.
  • Good understanding of data and AI architecture, including ingestion, processing, storage, governance, and analytics.
  • Experience collaborating with engineering teams, business stakeholders, and cross-functional groups.
  • Fluent English and the ability to work with agents.

Culture & Benefits

  • Highly technical role at the core of the data and AI platform strategy.
  • Opportunity to work with modern AWS, Databricks, and AI platforms at scale.
  • Collaborative environment connecting platform, data, and business teams.
  • Strong impact on how data and AI capabilities are delivered across the organization.
  • Inclusive workplace focused on diverse perspectives, equal opportunity, and employee support.

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