Назад
18 часов назад

Sr. Forward Deployed Engineer (FDE) - Digital Native Business (AI)

182 000 - 250 208$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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
Sr. Forward Deployed Engineer (FDE) - Digital Native Business (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 production delivery. Focus on designing scalable data pipelines, integrating ML/AI models and user-facing interfaces, and solving complex customer challenges across cloud ecosystems.

Location: Remote - New York; San Francisco Bay Area-focused. Candidates should be based in the San Francisco Bay Area, willing to relocate there, or able to travel there at least one week per month. Travel to customers is required 20% of the time.

Salary: $182,000–$250,208 USD annually

Company

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

What you will do

  • Build and productionize customer solutions spanning data engineering, AI, analytics, and application development.
  • Lead architecture, design decisions, and deployment of secure, scalable end-to-end data systems.
  • Design data ingestion pipelines, custom applications, reference architectures, and ML/AI model integrations.
  • Guide enterprise customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
  • Collaborate with project managers, architects, engineering, customer support, and customer stakeholders to deliver technical projects.
  • Create reusable accelerators, frameworks, and best practices while contributing product and implementation feedback.

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.
  • 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, including Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models and APIs, and production end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling stakeholder conflicts.

Nice to have

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

Culture & Benefits

  • Hands-on, customer-facing work at the intersection of technology and business impact.
  • Cross-functional collaboration with engineering, product, developer relations, project management, and customer support.
  • Opportunities to work directly with technical contributors, business stakeholders, and executives.
  • Compensation may include an annual performance bonus, equity, and employee benefits.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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