Назад
6 дней назад

Sr. Forward Deployed Engineer - FDE (Fullstack) (Data & AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Sr. Forward Deployed Engineer - FDE (Fullstack) (Data & AI): Building and productionizing end-to-end data, AI, and application solutions for customers on the Databricks platform with an accent on architecture ownership, distributed computing, and production deployment. Focus on integrating data pipelines, ML/AI models, and user-facing interfaces, solving complex enterprise delivery challenges, and creating reusable frameworks that scale across customer engagements.

Location: Zürich, Switzerland; travel to customers 20% of the time

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Lead customer projects delivering production-grade data, AI, and application solutions on the Databricks platform.
  • Own architecture and design decisions for secure, scalable end-to-end systems.
  • Build data ingestion pipelines, custom applications, reference architectures, and ML/AI integrations.
  • Embed with customer teams, guide architecture adoption, provide training, and engage stakeholders from technical contributors to executives.
  • Coordinate with project managers, architects, engineering, support, and customer teams to deliver projects on scope and timelines.
  • Develop reusable accelerators, frameworks, and best practices that influence the product roadmap.

Requirements

  • 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Experience with at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
  • Knowledge of CI/CD, MLOps, ML/AI models, AI APIs, and production end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing stakeholders, scope, timelines, and measurable outcomes; Databricks Certification required.

Culture & Benefits

  • Customer-facing, hands-on work at the intersection of technology and business impact.
  • Cross-functional collaboration with engineering, product, developer relations, customer support, and client teams.
  • Opportunities to work on transformational big data and AI projects and contribute to reusable technical assets.
  • Comprehensive benefits and perks tailored to the employee's region.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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