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Sr. Forward Deployed Engineer (FDE) - Financial Services

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) - Financial Services (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 delivery. Focus on designing scalable systems, integrating data pipelines with ML/AI models and user interfaces, and solving complex enterprise customer challenges.

Location: Washington, D.C., United States; travel to customers required 20% of the time.

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

Company

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

What you will do

  • Lead customer technical projects, delivering production-grade data, AI, and application solutions.
  • Design and implement reference architectures, custom applications, data ingestion systems, and ML/AI integrations.
  • Own architecture and design decisions, ensuring secure, scalable solutions aligned with customer needs and platform best practices.
  • Guide enterprise customers through big data and AI application design, deployment, evaluation, and adoption.
  • Collaborate with project managers, architects, engineering, support, and customer teams to deliver engagements and resolve implementation issues.
  • Develop reusable accelerators, frameworks, and best practices that scale across customer accounts.

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.
  • Experience designing and deploying production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with CI/CD, MLOps, technical project delivery, enterprise clients, documentation, and whiteboarding; Databricks Certification required.

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 teams.
  • Comprehensive benefits and perks, with details varying by region.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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