Назад
17 дней назад

Solutions Architect (Data & AI)

180 000 - 247 500$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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 (Data & AI): Leading technical strategy for customer accounts and designing scalable production solutions across data engineering, ML/AI, streaming, and real-time analytics with an accent on distributed data systems and cloud-native platforms. Focus on architecture trade-offs, live coding in Python and SQL, platform adoption, and building custom solutions for complex customer requirements.

Location: San Diego, California, United States

Salary: $180,000–$247,500 USD per year, with potential bonus and equity.

Company

Databricks provides a unified Data and AI 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 across data engineering, ML/AI, streaming, 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 and coordinate DSAs, SSAs, and partners to address complex customer needs.
  • Provide structured customer feedback to influence product direction.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong coding skills 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 quickly, plus a developing specialization in areas such as streaming, ML/AI, governance, or migrations.
  • Experience leading architecture discussions with senior technical stakeholders and deploying production systems on AWS, Azure, or GCP.
  • Ability to travel to customers 30% of the time and a 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 another relevant domain.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • Potential annual performance bonus and equity eligibility.
  • Commitment to diversity, inclusion, and equal employment opportunity.

Hiring process

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

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