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Sr. Forward Deployed Engineer (FDE) - Manufacturing

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

Текст:
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TL;DR
Sr. Forward Deployed Engineer (FDE) - Manufacturing (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 production deployments. Focus on designing secure and scalable systems, integrating data pipelines with ML/AI models and user interfaces, and delivering measurable outcomes for enterprise customers.

Location: Boston, Massachusetts, United States; travel to customers 20% of the time

Salary: $182,000–$250,208 USD per year, plus potential bonus, equity, and benefits

Company

Databricks is a data and AI 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 reference architectures, custom applications, data ingestion systems, and ML/AI model integrations.
  • Guide enterprise customers through implementation, evaluation, adoption, and transformational big data projects.
  • Work 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, with expertise in one of AWS, Azure, or GCP.
  • Deep experience with distributed computing using Apache Spark, including 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 timelines, documenting solutions, and handling broad stakeholder relationships.

Nice to have

  • Databricks Certification.
  • Curiosity and adaptability when exploring technologies used to deploy and integrate Databricks-based solutions.

Culture & Benefits

  • Customer-facing work focused on measurable business and technical outcomes.
  • Collaboration with engineering, product, developer relations, customer support, and customer teams.
  • Comprehensive benefits and perks, with details varying by region.
  • Potential eligibility for annual performance bonus and equity.
  • Inclusive hiring practices and a diverse working environment.

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