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

The role

You will lead a team of Delivery Solutions Architects responsible for accelerating production-grade Data and AI workloads for Healthcare and Life Sciences customers. You will define strategy, coach the team, and engage with executives to shape modernization roadmaps on the Databricks Data Intelligence Platform.

What you will do

• Hire, develop, and inspire DSAs
• Guide the team to bring HLS use cases into production
• Ensure team expertise in PHI-compliant architectures and HIPAA/GxP controls
• Collaborate with Sales, SAs, Support, and Professional Services
• Establish forecasting mechanisms and production readiness criteria
• Engage with IT, security, clinical, R&D, and data executives
• Contribute to cross-BU initiatives for delivery quality and reuse

Required qualifications

• 8+ years in customer-facing technical roles (Architecture, Field Engineering, Consulting)
• 3+ years leading or managing technical teams
• Success enabling production workloads in regulated industries
• Knowledge of cloud-native Lakehouse architectures, data governance, and secure ML operations
• Expertise in SQL, Python/Scala, distributed data systems, code reviews, and solution architecture
• Track record guiding customers through ETL modernization, analytics, real-time/streaming, and AI/ML productionization
• Experience across AWS, Azure, or GCP, including IAM, network security, and compliance controls
• Ability to manage escalations, forecast usage growth, and operationalize delivery frameworks
• Executive presence to advise CIOs, CISOs, and other enterprise leaders
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Nice to have

• Experience with HLS, life sciences, or similar GxP/HIPAA-bound environments

Benefits

• Annual performance bonus
• Equity

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.