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

**Company**: Databricks
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: $197,100-$270,975 USD
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8896139002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3c420b29-670

## Description

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 across highly regulated environments.

Your organisation will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernise clinical intelligence, streamline R&D operations, and operationalise secure AI at scale on the Databricks Data Intelligence Platform.

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,all while ensuring customers achieve clear, measurable outcomes.

**The Impact You Will Have:**

- Build and Lead a High-Performing HLS Delivery Team: Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads.

- Accelerate Production in Highly Regulated Environments: Guide your team to minimise onboarding friction, remove blockers, and bring critical HLS use cases into production quickly and safely.

- Drive Compliance-Aware Technical Excellence: Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements.

- Partner for Growth With Sales and Field Teams: Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption and increase MAU/WAU.

- Operationalize Rigor at Scale: Establish forecasting mechanisms, production readiness criteria, customer health indicators, and consumption execution frameworks.

- Be the Executive-Facing Technical Sponsor: Engage with IT, security, clinical, R&D, and data executives to shape modernisation roadmaps and influence architectural direction.

- Strengthen and Evolve the DSA Practice: Contribute to cross-BU initiatives that enhance delivery quality, reproducibility, and reuse.

**What We Look For:**

- 8+ years in customer-facing technical roles, with 3+ years leading or managing technical teams.

- Demonstrated success enabling production workloads in regulated industries, ideally with HLS or similar GxP/HIPAA-bound environments.

- Deep knowledge of cloud-native Lakehouse architectures, data governance, secure ML operations, and enterprise migration/modernisation 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 modernisation, analytics, real-time/streaming, and AI/ML productionisation.

- Experience across AWS, Azure, or GCP, including IAM, network security, compliance controls, and data perimeter models.

- Proven ability to manage escalations, forecast usage growth, operationalise 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%.

**Pay Range Transparency:** The pay range for this role is: Zone 1 Pay Range: $197,100-$270,975 USD Zone 2 Pay Range: $197,100-$271,050 USD Zone 3 Pay Range: $197,100-$271,050 USD Zone 4 Pay Range: $197,100-$271,050 USD

## Skills

### Required
- SQL
- Python
- Scala
- distributed data systems
- solution architecture
- cloud-native Lakehouse architectures
- data governance
- secure ML operations
- enterprise migration/modernisation patterns
- ETL modernisation
- analytics
- real-time/streaming
- AI/ML productionisation
- AWS
- Azure
- GCP
- IAM
- network security
- compliance controls
- data perimeter models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8896139002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)