--- title: 'Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS) at Databricks' canonical: 'https://feeny.ai/job/manager-delivery-solutions-architects-healthcare-life-sciences-hls-databricks-ag5x76znwxg5' type: 'job' last_seen: '2026-10-17' --- # Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS) at Databricks - **Company:** Databricks - **Location:** United States - **Compensation:** $197k–$271k - **Work type:** remote - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-10-17 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8896139002 ## Job description 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](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). 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 ## About Databricks 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). ## Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. 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