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Manager, Delivery Solutions Architect – Healthcare & Life Sciences (HLS)

Databricks· Delivery Solutions Architecture / HLS
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Remote$197.1k - $271kFull-timePosted 5d ago

About the role

Delivery Solutions Architect (DSA) Manager leading a team responsible for accelerating production-grade Data and AI workloads in regulated Healthcare & Life Sciences environments, enabling modern analytics, AI at scale, and secure operations on the Databricks Data Intelligence Platform.

Responsibilities

  • 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—clinical analytics, real-world evidence, supply-chain intelligence, quality systems, AI/ML—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 from Databricks.
  • 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.

Qualifications

  • 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%.

Skills

Required:SQLPythonDistributed data systems
Nice to have:Scala

Benefits

  • Benefits details available via regional link provided in job posting.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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