Назад
обновлено 1 день назад

Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences)

182 000 - 250 208$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences) (Databricks Data & AI Platform): Building and productionizing customer data, AI, and application solutions with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure scalable systems, integrating Spark and ML/AI models, and solving complex customer challenges through hands-on technical delivery.

Location: New York City, New York; candidates located anywhere within the Central or Eastern Time Zones are also eligible. Travel to customers is required 20% of the time.

Salary: $182,000–$250,208 USD per year, with potential annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data and AI Platform used to build and scale data, analytics, machine learning, and AI applications.

What you will do

  • Lead customer technical projects by designing and delivering production-grade data, AI, and application solutions.
  • Own architecture and design decisions for secure, scalable end-to-end systems.
  • Build data ingestion pipelines, custom applications, reference architectures, and ML/AI model integrations.
  • Embed with customer teams, guide architecture and implementation, and support successful platform adoption.
  • Collaborate with project managers, architects, engineering, support, and customer stakeholders to deliver technical engagements.
  • Develop 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.
  • Programming experience with 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 outcomes, documenting solutions, and handling broad stakeholder relationships.

Nice to have

  • Databricks Certification.
  • Curiosity and adaptability when exploring technologies that support Databricks-based solution deployment and integration.

Culture & Benefits

  • Hands-on, customer-facing work focused on measurable business outcomes.
  • Cross-functional collaboration with engineering, product, developer relations, customer support, and customer teams.
  • Comprehensive benefits and region-specific perks.
  • Annual performance bonus and equity may be included in the compensation package.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →