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

United States · California · 3+ years experience · Remote · Posted Oct 16, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

As a Delivery Solutions Architect (DSA) Manager supporting the Healthcare & Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads.
Your organization will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernize clinical intelligence, streamline R&D operations, and operationalize secure AI at scale.
You will define strategy, set the execution rhythm, and coach a team capable of navigating long implementation cycles, strict compliance requirements, and multi-stakeholder enterprise programs.

Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads.
Establish a performance culture grounded in accuracy, velocity, and architectural excellence.
Guide your team to minimize onboarding friction, remove blockers, and bring critical HLS use cases into production quickly and safely.
Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures, HIPAA/GxP controls, auditability, lineage, and secure ML/AI operations.
Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption, increase MAU/WAU, enable mature operational patterns, and ensure customers realize tangible business value.
Establish forecasting mechanisms, production readiness criteria, customer health indicators, and consumption execution frameworks that ensure predictable, multi-account delivery across HLS programs.
Engage with IT, security, clinical, R&D, and data executives to shape modernization roadmaps, influence architectural direction, mitigate risk, and sponsor the strategic value of Lakehouse and GenAI across the HLS ecosystem.
Contribute to cross-BU initiatives that enhance delivery quality, reproducibility, and reuse—including patterns, accelerators, reference architectures, and playbooks tailored for healthcare, biopharma, and payer/provider operations.

8+ years in customer-facing technical roles (Architecture, Field Engineering, Consulting), with 3+ years leading or managing technical teams.
Demonstrated success enabling production workloads in regulated industries, ideally with HLS, life sciences, or similar GxP/HIPAA-bound environments.
Deep knowledge of cloud-native Lakehouse architectures, data governance, secure ML operations, and enterprise migration/modernization patterns.
Hands-on, executive-credible expertise in SQL, Python/Scala, distributed data systems, code reviews, and solution architecture.
Strong 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, compliance controls, and data perimeter models.
Proven ability to manage escalations, forecast usage growth, operationalize delivery frameworks, and guide cross-functional teams.
Strong executive presence—trusted advisor to CIOs, CISOs, Chief Data Officers, Clinical/R&D executives, and enterprise technical leaders.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Willingness to travel up to 30%.