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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
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Описание вакансии

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TL;DR
Senior Forward Deployed Engineer (FDE) (Healthcare & Life Sciences) (Data & AI): Building and productionizing customer-facing data, AI, and application systems on the Databricks platform with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure and scalable solutions, integrating data pipelines with ML/AI models and user-facing interfaces, and solving complex customer implementation challenges.

Location: Philadelphia, Pennsylvania; 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 annually, with potential eligibility for performance bonus, equity, and benefits.

Company

Databricks provides a unified Data and AI Platform used by organizations to build and scale data applications, analytics, and AI agents.

What you will do

  • Build and productionize customer solutions spanning data engineering, AI, and application development.
  • Lead architecture and design decisions for secure, scalable, production-grade systems.
  • Design reference architectures, custom applications, data ingestion systems, and ML/AI integrations.
  • Guide customers through technical implementation, evaluation, adoption, and transformation projects.
  • Collaborate with engagement managers, project managers, architects, engineering, support, and customer stakeholders.
  • Create reusable accelerators, frameworks, and best practices that scale across accounts and influence 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 end-to-end production data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and stakeholders, and holding Databricks Certification.

Culture & Benefits

  • Hands-on, customer-facing work at the intersection of technology and business impact.
  • Cross-functional collaboration with engineering, product, developer relations, support, and customer teams.
  • Comprehensive employee benefits and perks, varying by region.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

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