Databricks предлагает четко очерченную руководящую роль в востребованной сфере данных и ИИ, с высокой зарплатой и серьезной технической ответственностью; основные компромиссы - поездки до 30% и сочетание управления командой с работой по клиентским проектам.
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Частые поездкиСовременный стекДостойная зарплатаИИ в медицинеПонятная роль
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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.
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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