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6 дней назад

Lead Data Architect (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Data Architect (Databricks): Designing and owning a Databricks-based data platform for AI-driven drug development with an accent on cloud data warehouse architecture, data modeling, security, and scalable ingestion and transformation. Focus on establishing long-term platform standards, optimizing performance and cost, and integrating reliable data foundations for engineering and AI/ML systems.

Location: Hybrid work model based at the Austin office, United States

Company

hirify.global is a healthtech company using AI, clinical research expertise, and data science to accelerate drug development and improve patient outcomes.

What you will do

  • Design and own the Databricks-based data platform architecture from data ingestion and transformation through deployment.
  • Define data modeling standards, data warehousing strategy, and access and security architecture.
  • Partner with Data Engineering to translate architectural designs into scalable data pipelines.
  • Own platform performance, cost efficiency, reliability, and technical standards for onboarding new data domains.
  • Advise leadership on build-versus-buy decisions and data platform tooling.

Requirements

  • 7+ years of experience in data architecture or engineering.
  • Deep hands-on experience with Databricks or Snowflake and designing cloud data warehouses at scale.
  • Strong knowledge of data modeling, ETL/ELT pipeline design, and data security and access controls.
  • Experience working in a regulated or compliance-sensitive environment.
  • Excellent written and verbal English communication skills.

Nice to have

  • Experience in healthtech, life sciences, or clinical research data environments.
  • Familiarity with CDISC or other clinical data standards.
  • Experience supporting AI/ML teams with structured data foundations.
  • Experience leading or managing data engineering teams.
  • Experience with dbt, KPI metrics, entity resolution, or AI/ML models in data pipelines.

Culture & Benefits

  • International, collaborative, and diverse working environment.
  • Hybrid work model designed to support flexibility and work-life balance.
  • MacBook provided for work.
  • Medical, dental, and vision insurance options, along with a broader benefits package.
  • Company events and a pet-friendly office.

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