Назад
10 дней назад

Solutions Architect (Presales, Data & AI, Digital Native Business)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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
Solutions Architect (Presales, Data & AI): Leading technical strategy and designing scalable production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native data platforms with an accent on architecture leadership and platform adoption. Focus on developing a technical specialisation, building custom solutions for competitive scenarios, and solving complex data platform challenges through live coding, design reviews, and production deployment.

Location: London, United Kingdom

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • Lead architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, real-time analytics, and cloud-native data platforms.
  • Advise customer architects, engineering leads, and directors on technical strategy, trade-offs, and platform adoption.
  • Build custom solutions to demonstrate Databricks differentiation in competitive scenarios.
  • Develop a technical specialisation and coordinate DSAs, SSAs, and partners to address complex customer needs.
  • Provide structured customer and competitive feedback to influence product direction.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical presales, or a senior hands-on technical role.
  • Strong Python and SQL coding skills, including live coding, debugging, and solution building.
  • Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Experience with Databricks or the ability to become proficient rapidly, with a developing specialisation in areas such as streaming, ML/AI, governance, or migrations.
  • Experience leading architecture discussions with senior technical stakeholders and deploying solutions on AWS, Azure, or GCP, including infrastructure, security, and governance.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

  • Databricks certifications in data engineering, ML, or platform technologies.
  • Experience with Snowflake, AWS native services, or Azure Synapse.
  • Background in a data/AI company or cloud provider.
  • Industry expertise in financial services, healthcare, retail, media, or similar sectors.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee’s region.
  • Inclusive culture and equal employment opportunity practices.
  • Access to a global organization with more than 30 offices.

Hiring process

  • Recruiter screen and hiring manager screen.
  • Design and architecture interview followed by a live coding assessment.
  • Build, Demo, Pitch! presentation and reference check.

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