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обновлено 6 дней назад

Senior Forward Deployed Engineer (FDE) (Retail)

182 000 - 250 208$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Forward Deployed Engineer (FDE) (Retail) (Data & AI): Building and productionizing customer-facing data, AI, and application solutions on the Databricks platform with an accent on end-to-end architecture, distributed computing, and enterprise delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing interfaces, and delivering measurable outcomes for strategic customers.

Location: Remote - California; travel to customers 20% of the time

Salary: $182,000–$250,208 USD annually, plus potential annual performance bonus, equity, and benefits

Company

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

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 and implement reference architectures, custom applications, data ingestion, and ML/AI model integrations.
  • Guide enterprise customers through implementation, evaluation, adoption, and technical transformation.
  • Collaborate with project managers, architects, engineering, support, and customer teams to deliver technical engagements.
  • 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.
  • Production coding experience with Python, Scala, JavaScript or 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.
  • Experience with CI/CD, MLOps, ML/AI models and APIs, and end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and stakeholders, and translating complex concepts into actionable solutions; Databricks Certification required.

Nice to have

  • Experience creating technical documentation and leading whiteboarding sessions.
  • Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solutions.

Culture & Benefits

  • Hands-on, customer-facing work at the intersection of technology and business impact.
  • Collaboration with customers, engineering, product, developer relations, and customer support.
  • Comprehensive regional benefits and perks.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive hiring practices and a focus on a diverse workplace.

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