Назад
4 дня назад

Solutions Architect (Data & AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Solutions Architect (Data & AI): Leading customer technical strategy and designing scalable production solutions across data engineering, ML/AI, streaming, and lakehouse architectures with an accent on technical pre-sales, platform adoption, and cloud-native deployments. Focus on designing distributed data systems, solving complex architecture trade-offs, and building live-coded solutions for senior technical stakeholders.

Location: Singapore

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, 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 solutions spanning data engineering, ML/AI, real-time analytics, streaming, and lakehouse patterns.
  • Advise customer architects, engineering leads, and senior technical stakeholders on architecture, trade-offs, and business value.
  • Drive competitive technical wins through custom-built solutions and platform demonstrations.
  • Develop a technical specialization and coordinate DSAs, SSAs, and partners for complex customer engagements.
  • Provide structured customer feedback to influence product direction.

Requirements

  • 5+ 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 production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
  • Ability to lead whiteboarding sessions, design reviews, 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, ML, or the platform.
  • 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 vary by region.
  • Inclusive workplace committed to equal employment opportunity.
  • 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →