Назад
18 часов назад

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

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
Sr. Forward Deployed Engineer (FDE) - Digital Native Business (Data and AI): Building and productionizing customer-facing data platforms, applications, pipelines, and ML/AI integrations with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure and scalable systems with Apache Spark and cloud platforms, embedding with customer teams, and delivering measurable outcomes across complex technical projects.

Location: Remote in California, with a focus on the San Francisco Bay Area. Candidates should be based in the area, willing to relocate, 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, with potential annual bonus, equity, and benefits.

Company

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

What you will do

  • Lead customer projects delivering production-grade data systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
  • Design, build, and deploy end-to-end big data and AI applications that address strategic customer needs.
  • Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with platform best practices.
  • Guide customers through architecture, implementation, evaluation, and adoption while working with technical and executive stakeholders.
  • Collaborate with project managers, architects, engineering, support, and customer teams to deliver technical components and resolve implementation issues.
  • 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.
  • 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 knowledge of Spark runtime internals, plus CI/CD and MLOps.
  • Experience designing and deploying production data architectures and applications combining pipelines, ML/AI models, and user-facing interfaces.
  • 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 used to deploy and integrate platform-based solutions.

Culture & Benefits

  • Customer-facing work with close collaboration across engineering, product, developer relations, support, and customer teams.
  • Opportunity to influence reusable technical assets and long-term product priorities.
  • Comprehensive employee benefits and region-specific perks.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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