Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает четкую ответственность за ключевую платформу данных в растущей AI-компании из сферы healthtech, но без зарплатного диапазона сложно оценить финансовую привлекательность предложения.
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Зарплата не указанаЧеткая зона ответственностиСовременные технологииПерспективная сфераГибридный формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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