Назад
4 часа назад

Senior Forward Deployed Engineer - Architect

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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 - Architect (Data & AI): Building and productionizing customer solutions on the Databricks platform with an accent on end-to-end architecture ownership across data engineering, AI/ML integration, and application development. Focus on designing secure, scalable reference architectures, delivering production-grade systems, and guiding enterprise customers through complex big data and AI deployments.

Company

Databricks provides a data and AI platform used by thousands of organizations worldwide.

What you will do

  • Lead production solution delivery for customer technical projects, including reference architectures, data ingestion, and ML/AI model integration.
  • Design, build, and deploy end-to-end big data and AI applications for strategic customers, working with engagement managers to scope delivery.
  • Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • Embed with customer teams, engage stakeholders from technical ICs to executives, and drive measurable outcomes.
  • Collaborate with Databricks engineering, project management, and customer support to deliver engagement components and feed back product/implementation learnings.
  • Contribute reusable accelerators, frameworks, and best practices to scale impact across accounts and influence the product roadmap.

Requirements

  • Experience in data engineering, data platforms & analytics, or software engineering / full stack development.
  • Comfort writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least one cloud ecosystem (AWS, Azure, or GCP) and familiarity with two or more.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
  • Ability to travel to customers (20% of the time).

Culture & Benefits

  • Hands-on, customer-facing role focused on delivering production-grade outcomes.
  • Cross-functional collaboration with engineering, product, and developer relations.
  • Hybrid work setup based in London, United Kingdom.
  • Opportunity to create reusable accelerators and influence product direction.

Hiring process

  • Interviews to assess technical depth, customer-facing delivery experience, and architecture/design decision-making.
  • Evaluation of fit for hands-on, billable project delivery and collaboration across stakeholders.

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