HLS Delivery Solutions Architect Lead

Databricks Inc.; California; On-site; USD 197,000 - 271,000; Full time

Job summary

Databricks is seeking a Delivery Solutions Architect Manager for the Healthcare & Life Sciences segment. You will lead a team delivering production-grade data and AI workloads in highly regulated environments, guiding clinicians, researchers, and operations through modern data platforms.

You will set strategy, coach teams, and work with Sales and field teams to drive adoption, governance, and scalable value across Lakehouse and GenAI initiatives.

Qualifications

• 8+ years in customer-facing technical roles (architecture, field engineering, consulting) with 3+ years leading technical teams.
• Experience enabling production workloads in regulated industries (HLS, life sciences, or HIPAA/GxP environments).
• Deep knowledge of cloud-native Lakehouse architectures, data governance, secure ML operations, and enterprise migration patterns.
• Hands-on expertise in SQL, Python/Scala, distributed data systems, code reviews, and solution architecture.

Responsibilities

• Lead a high-performing HLS delivery team and foster a culture of accuracy, velocity, and architectural excellence.
• Accelerate production workloads in highly regulated environments with clinical analytics, real-world evidence, and AI/ML use cases.
• Ensure compliance-aware technical excellence with HIPAA/GxP controls, auditability, lineage, and secure ML ops.

Skills

Leadership

Regulated industries

Cloud-native Lakehouse

SQL

Python/Scala

ETL modernization

AWS/Azure/GCP

Executive presence

Education

Bachelor’s degree in Computer Science/Engineering

Job description

Databricks is seeking a Delivery Solutions Architect Manager for the Healthcare & Life Sciences segment. You will lead a team delivering production-grade data and AI workloads in highly regulated environments, guiding clinicians, researchers, and operations through modern data platforms.

You will set strategy, coach teams, and work with Sales and field teams to drive adoption, governance, and scalable value across Lakehouse and GenAI initiatives.