Databricks

Delivery Solutions Architect Manager – Healthcare & Life Sciences (HCLS)

United StatesField Engineering - FE Invested DSAFull-timeposted 4d ago

<p data-pm-slice="1 1 []">FEQ227R156</p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <h1><span style="font-size: 12pt;"><strong>The Impact You Will Have:</strong></span></h1> <h3><span style="font-size: 12pt;"><strong>Build and Lead a High-Performing HLS Delivery Team</strong></span></h3> <p><span style="font-size: 12pt;">Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads. Establish a performance culture grounded in accuracy, velocity, and architectural excellence.</span></p> <h3><span style="font-size: 12pt;"><strong>Accelerate Production in Highly Regulated Environments</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h3><span style="font-size: 12pt;"><strong>Drive Compliance-Aware Technical Excellence</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h3><span style="font-size: 12pt;"><strong>Partner for Growth With Sales and Field Teams</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h3><span style="font-size: 12pt;"><strong>Operationalize Rigor at Scale</strong></span></h3> <p><span style="font-size: 12pt;">Establish forecasting mechanisms, production readiness criteria, customer health indicators, and consumption execution frameworks that ensure predictable, multi-account delivery across HLS programs.</span></p> <h3><span style="font-size: 12pt;"><strong>Be the Executive-Facing Technical Sponsor</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h3><span style="font-size: 12pt;"><strong>Strengthen and Evolve the DSA Practice</strong></span></h3> <p><span style="font-size: 12pt;">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.</span></p> <h1><span style="font-size: 12pt;"><strong>What We Look For:</strong></span></h1> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>8+ years</strong> in customer-facing technical roles (Architecture, Field Engineering, Consulting), with <strong>3+ years leading or managing technical teams</strong>.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Demonstrated success <strong>enabling production workloads in regulated industries</strong>, ideally with HLS, life sciences, or similar GxP/HIPAA-bound environments.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Deep knowledge of <strong>cloud-native Lakehouse architectures</strong>, data governance, secure ML operations, and enterprise migration/modernization patterns.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Hands-on, executive-credible expertise in <strong>SQL</strong>, <strong>Python/Scala</strong>, distributed data systems, code reviews, and solution architecture.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong track record guiding customers through <strong>ETL modernization, analytics, real-time/streaming</strong>, and <strong>AI/ML productionization</strong>.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience across <strong>AWS, Azure, or GCP</strong>, including IAM, network security, compliance controls, and data perimeter models.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven ability to manage escalations, forecast usage growth, operationalize delivery frameworks, and guide cross-functional teams.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong executive presence—trusted advisor to <strong>CIOs, CISOs, Chief Data Officers, Clinical/R&D executives</strong>, and enterprise technical leaders.</span><br><br></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Willingness to travel up to 30%.</span></li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">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 <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p> </p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$197,100</span><span class="divider">—</span><span>$270,975 USD</span></div></div><div class="pay-input"><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$197,100</span><span class="divider">—</span><span>$271,050 USD</span></div></div><div class="pay-input"><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$197,100</span><span class="divider">—</span><span>$271,050 USD</span></div></div><div class="pay-input"><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$197,100</span><span class="divider">—</span><span>$271,050 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>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, please visit <a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>. <br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>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.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">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.</span></strong></p></div>

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