Назад
3 дня назад

Solutions Architect (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 (Digital Native Business) (Data/AI): Leading customer technical strategy and designing production-grade solutions across data engineering, machine learning, real-time analytics, and cloud-native platforms with an accent on scalable architectures, platform adoption, and technical specialization. Focus on guiding complex architecture discussions, building custom competitive solutions, orchestrating cross-functional resources, and demonstrating live coding and solution-building skills.

Location: London, United Kingdom

Company

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

What you will do

  • Own the end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
  • Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
  • Advise customer architects, engineering leads, and directors on technical strategy and platform adoption.
  • Demonstrate Databricks differentiation through custom-built solutions in competitive scenarios.
  • Develop a technical specialization in an area such as streaming, ML/AI, data governance, or migrations.
  • Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and product gaps.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong coding proficiency in Python and SQL, 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, plus production deployments on AWS, Azure, or GCP.
  • Experience leading architecture discussions, design reviews, whiteboarding, and trade-off analysis with senior technical stakeholders.
  • 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, machine learning, 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 another relevant sector.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee’s region.
  • Inclusive hiring practices and a diverse workplace.
  • Access to a global organization with more than 30 offices and customers worldwide.

Hiring process

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

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