Назад
12 дней назад

Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS)

197 100 - 271 050$
Формат работы
onsite
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

Текст:
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TL;DR
Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS) (Data and AI/Lakehouse): Leading a team that accelerates production-grade data and AI workloads for regulated healthcare, life sciences, and biopharma environments with an accent on secure architecture, compliance, and enterprise modernization. Focus on building delivery frameworks, guiding HIPAA/GxP-compliant ML operations, and sponsoring complex technical programs with executive stakeholders.

Location: United States; willingness to travel up to 30%

Base salary: $197,100–$271,050 USD annually, depending on pay zone. Total compensation may also include an annual performance bonus, equity, and benefits.

Company

Databricks provides a Data and AI Platform that organizations use to build and scale data applications, analytics, AI agents, and Lakehouse workloads.

What you will do

  • Lead, hire, develop, and coach Delivery Solutions Architects supporting Healthcare & Life Sciences customers.
  • Accelerate clinical analytics, real-world evidence, supply-chain intelligence, quality systems, and AI/ML workloads into production.
  • Guide secure, compliant architectures covering PHI, HIPAA/GxP controls, auditability, lineage, and ML/AI operations.
  • Partner with Sales, Solutions Architects, Support, Emerging Technologies, and Professional Services to drive adoption and measurable customer outcomes.
  • Establish forecasting, production-readiness criteria, customer health indicators, and delivery frameworks across multiple accounts.
  • Act as an executive-facing technical sponsor and improve reusable patterns, accelerators, reference architectures, and playbooks.

Requirements

  • 8+ years of experience in customer-facing technical roles such as architecture, field engineering, or consulting.
  • 3+ years leading or managing technical teams, with experience delivering production workloads in regulated industries.
  • Deep knowledge of cloud-native Lakehouse architectures, data governance, secure ML operations, and enterprise modernization.
  • Hands-on expertise in SQL, Python or Scala, distributed data systems, code reviews, and solution architecture.
  • Experience with ETL modernization, analytics, real-time or streaming systems, AI/ML productionization, and AWS, Azure, or GCP.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience; willingness to travel up to 30%.

Culture & Benefits

  • Benefits and perks are provided according to the employee’s region.
  • Compensation may include annual performance bonuses, equity, and regional benefits.
  • Work involves collaboration across Sales, Support, Professional Services, and other technical functions.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

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