Назад
17 дней назад

Senior Forward Deployed Engineer (Fullstack)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/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
Senior Forward Deployed Engineer (Fullstack) (Data & AI): Building and productionizing end-to-end customer solutions on the Databricks platform with an accent on data engineering, distributed computing, ML/AI integration, and user-facing applications. Focus on owning architecture, deploying secure and scalable production systems, and solving complex customer data challenges across cloud ecosystems.

Location: Paris, France. Travel to customers is required 20% of the time.

Company

Databricks provides a unified Data and AI platform used by organizations worldwide to build and scale data applications, analytics, and AI solutions.

What you will do

  • Deliver production-grade customer solutions, including data architectures, custom applications, ingestion systems, and ML/AI integrations.
  • Lead end-to-end architecture and design decisions for secure, scalable solutions aligned with customer needs and Databricks best practices.
  • Guide customers through architecture, implementation, evaluation, and adoption of Databricks-based projects.
  • Work with project managers, architects, engineering, support, and customer teams to deliver technical engagements and resolve implementation issues.
  • Embed with customer stakeholders, from technical contributors to executives, to understand challenges and deliver measurable outcomes.
  • Build reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.

Requirements

  • Extensive experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models, AI APIs, and production end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling broad stakeholder needs.

Nice to have

  • Databricks Certification.
  • Curiosity and adaptability when exploring technologies for Databricks solution deployment and integration.

Culture & Benefits

  • Customer-facing work with close collaboration across engineering, product, developer relations, support, and project delivery teams.
  • Comprehensive benefits and perks, with details varying by region.
  • Inclusive workplace committed to equal employment opportunity and enabling employees to excel.

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