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обновлено 17 дней назад

Forward Deployed Engineer (Data & AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Forward Deployed Engineer (Data & AI): Building and productionizing end-to-end data and AI solutions for enterprise customers on the Databricks platform with an accent on architecture ownership, distributed computing, and production delivery. Focus on integrating data pipelines, ML/AI models, and user-facing applications, solving complex customer challenges, and creating scalable accelerators and frameworks.

Location: Berlin or Munich, Germany; travel to customers 20% of the time.

Company

Databricks is a data and AI company providing a unified platform for building and scaling data, analytics, AI applications, and agents.

What you will do

  • Build and productionize end-to-end solutions for customer data and AI challenges.
  • Own architecture and lead design decisions for secure, scalable production systems.
  • Design and deliver reference architectures, custom applications, data ingestion, and ML/AI model integrations.
  • Guide enterprise customers through technical implementation, evaluation, adoption, and transformational big data projects.
  • Collaborate with project managers, architects, engineering, customer support, and customer stakeholders to deliver projects and resolve implementation issues.
  • Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.

Requirements

  • 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to write production 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 end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling broad stakeholder groups.

Nice to have

  • Databricks Certification.
  • Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solutions.

Culture & Benefits

  • Customer-facing work at the intersection of engineering and business impact.
  • Cross-functional collaboration with engineering, product, developer relations, project management, and customer support.
  • Opportunities to engage with stakeholders ranging from technical individual contributors to executives.
  • Comprehensive benefits and perks tailored to the employee's region.
  • Commitment to an inclusive culture and equal employment opportunity.

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