Databricks

Senior Forward Deployed Engineer - Solutions Architect

Senior · Гибрид · Лондон, Великобритания · Английский B2

Навыки

  • AWS
  • Azure
  • Big Data
  • Bootstrap
  • CI/CD
  • Data Lake
  • Google Cloud
Ещё 8
  • JavaScript
  • Machine Learning
  • MLOps
  • Python
  • Роадмап
  • Scala
  • Spark
  • TypeScript

О компании и продукте

  • Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design
  • bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap
  • Req ID: CSQ127R149
  • Job Role: Senior Forward Deployed Engineer - Solutions Architect or Senior Solutions Architect level
  • Recruiter: Dina Hussain
  • We’re hiring for multiple roles within our FDE team
  • As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform
  • You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development
  • We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations
  • FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data

Требования

  • Experience in data engineering, data platforms & analytics, or software engineering / full stack development
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects
  • Travel to customers 20% of the time
  • Databricks Certification - an advantage
  • This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact
  • The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes
  • FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy

Условия

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
  • Location: London, United Kingdom - Hybrid

Паспорт вакансии

История публикации

Появилась в Вакандии30 днейв источнике с 14.01.2026
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 25 дней назад
Среди похожихдольше 82%сравнение с 239 вакансиями той же роли и грейда
Долго открыта
Вакансия висит дольше 82% похожих вакансий. Это не значит, что она закрыта, но откликаться стоит с этой оговоркой.

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдSeniorвычитано из текста вакансии
Формат работыГибридвычитано из текста вакансии
ГеографияЛондон, Великобританиявычитано из текста вакансии
Зарплата≈ 17 812 USD в месяцнаша оценка, в вакансии не названа

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Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
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  • greenhouseОсновная публикация · 2026-01-14

Работодатель

Databricks

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  • Обещают большой доход без опыта и без деталей задач.

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