Назад
20 часов назад

Senior Forward Deployed Engineer (Public Sector)

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 RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Forward Deployed Engineer (Public Sector) (Databricks Data and AI Platform): Designing and delivering customer data, analytics, and AI solutions with an accent on distributed computing, cloud architecture, and production deployments. Focus on building end-to-end architectures, integrating client systems, resolving complex implementation issues, and guiding strategic public-sector transformations.

Location: Remote within the United States, with Washington, D.C. listed as the location; up to 30% travel may be required. U.S. Secret clearance or above is required.

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

Company

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

What you will do

  • Design and build reference architectures, deployment patterns, and productionized customer use cases.
  • Deliver end-to-end data engineering, data science, cloud, and AI projects using the Databricks platform.
  • Consult with customers on architecture, implementation, migrations, evaluation, and adoption.
  • Scope professional services engagements with engagement managers and customer stakeholders.
  • Provide escalated operational support and collaborate with engineering and customer support on issue resolution.
  • Coordinate with technical, project management, architecture, and customer teams to deliver engagement outcomes.

Requirements

  • U.S. Secret clearance or above is required.
  • 6+ years of experience in data engineering, data platforms, and analytics.
  • Ability to write production code in Python or Scala.
  • Working knowledge of at least two major cloud ecosystems, with deep expertise in one: AWS, Azure, or GCP.
  • Deep experience with Apache Spark and distributed computing, including Spark runtime internals, CI/CD, MLOps, and end-to-end data architecture.
  • Experience delivering technical projects, managing scope and timelines, documenting and whiteboarding solutions, and working directly with clients.

Culture & Benefits

  • Remote work within the United States with travel of up to 30% when needed.
  • Comprehensive regional employee benefits and practical perks.
  • Potential annual performance bonus and equity participation.
  • Inclusive workplace committed to diversity and equal employment opportunity.

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