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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Sr. Forward Deployed Engineer - Architect - Full Stack (Data & AI)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Sr. Forward Deployed Engineer - Architect - Full Stack (Data & AI): Build and productionize end-to-end data, AI, and application solutions for enterprise customers using the Databricks platform with an accent on architecture, distributed computing, and customer-focused delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing interfaces, and solving complex technical challenges across customer environments.

Location: London, United Kingdom

Company

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

What you will do

  • Lead customer projects by designing and delivering production-grade data, AI, and application systems.
  • Own architecture and design decisions for secure, scalable solutions aligned with customer needs and Databricks best practices.
  • Build reference architectures, custom applications, data ingestion pipelines, and ML/AI integrations.
  • Work with customers, project managers, architects, engineering, product, support, and developer relations teams to deliver technical engagements.
  • Embed with customer teams, translate business and technical challenges into measurable outcomes, and support adoption of Databricks solutions.
  • Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.

Requirements

  • Extensive experience in data engineering, data platforms and analytics, or software engineering.
  • Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
  • Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
  • Experience with CI/CD, MLOps, ML/AI models and AI APIs, and production end-to-end data architectures.
  • Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling stakeholder conflicts.

Nice to have

  • Databricks Certification.
  • Curiosity and adaptability when exploring technologies for Databricks-based solution deployment and integration.

Culture & Benefits

  • Customer-facing work with direct engagement across technical contributors and executive stakeholders.
  • Collaboration with cross-functional engineering, product, support, and customer teams.
  • Comprehensive regional benefits and employee perks.
  • Commitment to an inclusive culture and equal employment opportunity.
  • Travel to customers approximately 20% of the time.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’