Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS)
Lead a team of Delivery Solutions Architects to accelerate Data and AI workloads in the Healthcare & Life Sciences sector.
Posted by employer 8 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- Build and lead a high-performing HLS delivery team
- Accelerate production in highly regulated environments
- Drive compliance-aware technical excellence
- Partner for growth with sales and field teams
- Operationalize rigor at scale
Must have
- 8+ years in customer-facing technical roles
- 3+ years leading or managing technical teams
- Demonstrated success enabling production workloads in regulated industries
- Deep knowledge of cloud-native Lakehouse architectures
- Hands-on expertise in SQL, Python/Scala, distributed data systems
Practical constraints
- Willingness to travel up to 30%
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Manager of Delivery Solutions Architects for Healthcare & Life Sciences at Databricks leads a team focused on implementing Data and AI solutions in highly regulated environments. The position requires expertise in cloud-native architectures, data governance, and secure machine learning operations, alongside strong technical skills in SQL and Python. Ideal candidates have significant experience in customer-facing technical roles and a proven track record in regulated industries, particularly healthcare. The role emphasizes collaboration with various stakeholders to ensure successful project delivery and compliance.
Joblaze insights
- Listed today — first seen on Joblaze October 17, 2026. Last confirmed on Databricks's careers page October 17, 2026.
- Salary band is above the typical range for Management roles (median ~$170,943).
- Starts above 51% of 45 comparable lead management roles in United States that list Python we track (median $195,000 across 25 companies). See Python salary trends
- Python appears in 12% of 599 comparable lead management roles in United States; Data Intelligence Platform appears in 0.2% of 599 comparable lead management roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $197,100–$271,050 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Data Intelligence Platform, GCP, Python, SQL.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS) role at Databricks.
From the original posting
CSQ427R265
Manager, Delivery Solutions Architect – Healthcare & Life Sciences (HLS)
United States – Apply Now
As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated, mission-critical environments in the world. 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 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. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit.
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. Establish a performance culture grounded in accuracy, velocity, and architectural excellence.
Accelerate Production in Highly Regulated Environments
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.
Drive Compliance-Aware Technical Excellence
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.
Partner for Growth With Sales and Field Teams
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.
Operationalize Rigor at Scale
Establish forecasting mechanisms, production readiness criteria, customer health indicators, and consumption execution frameworks that ensure predictable, multi-account delivery across HLS programs.
Be the Executive-Facing Technical Sponsor
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.
Strengthen and Evolve the DSA Practice
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.
What We Look For
- 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%.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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