[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Solutions Architect – Healthcare/Life Sciences Team (HLS) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 180k–247,500 / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished29 Oct 2026Apply before28 Nov 2026Listing views35Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Databricks is seeking a senior pre-sales Solutions Architect focused on Healthcare and Life Sciences enterprise accounts. The role partners with Enterprise Account Executives to define account technical strategy, guide adoption of Databricks, and build executive and technical champions. Candidates need strong expertise in big data, cloud, data science, ML/AI, and programming with Python, SQL, or Scala. This is a customer-facing strategic role supporting large global accounts, with up to 35% travel and remote availability across the United States. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-impact pre-sales role requiring both deep technical credibility and executive-level value selling across complex healthcare and life-sciences enterprises. Success depends on independently shaping technical strategy for large accounts while coordinating multiple stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$213,750US market range (per year)$180k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD 180,000–247,500 pay range, described as salary or on-target earnings depending on commission eligibility. The yearly cadence is inferred from the range magnitude and standard US compensation conventions for a senior enterprise pre-sales Solutions Architect. Estimated US market pay for comparable roles is approximately USD 180,000–260,000 per year, excluding potential equity and additional bonus components. ## Core skills Skills and capabilities most closely associated with this opportunity. [Enterprise solution architecture](https://jobicy.com/jobs?search_keywords=Enterprise%20solution%20architecture.md)[Pre-sales engineering](https://jobicy.com/jobs?search_keywords=Pre-sales%20engineering.md)[Healthcare and life sciences](https://jobicy.com/jobs?search_keywords=Healthcare%20and%20life%20sciences.md)[Big data](https://jobicy.com/jobs?search_keywords=Big%20data.md)[Cloud computing](https://jobicy.com/jobs?search_keywords=Cloud%20computing.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Artificial intelligence](https://jobicy.com/jobs?search_keywords=Artificial%20intelligence.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Scala](https://jobicy.com/jobs?search_keywords=Scala.md)[Technical account strategy](https://jobicy.com/jobs?search_keywords=Technical%20account%20strategy.md)[Value selling](https://jobicy.com/jobs?search_keywords=Value%20selling.md)[Executive stakeholder management](https://jobicy.com/jobs?search_keywords=Executive%20stakeholder%20management.md)[Data-driven transformation](https://jobicy.com/jobs?search_keywords=Data-driven%20transformation.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md) Sample interview questionsHow would you develop a technical strategy for a large healthcare enterprise evaluating Databricks?I would begin by aligning with executive sponsors, business priorities, data maturity, and regulatory constraints. I would then map priority use cases to a phased architecture and adoption plan, validate value through targeted proof points, and define success metrics with the customer and account team. Describe how you explain an ML/AI platform's value to a non-technical executive. I connect platform capabilities to business outcomes such as faster clinical insights, improved operational efficiency, reduced data-platform complexity, and governed AI adoption. I avoid feature-led discussions and use a concise value narrative supported by relevant customer outcomes, risks, and measurable milestones. How would you build technical champions within a strategic account? I would identify influential practitioners and leaders, understand their objectives, and involve them early in architecture decisions and use-case validation. I would provide enablement, create visible wins, and equip champions with clear materials they can use to advocate internally. What factors would you consider when designing a data and AI solution for a healthcare customer? I would assess data sources, interoperability, governance, privacy, security, auditability, scalability, and the operational lifecycle for ML models. I would also ensure the proposed solution supports the customer's regulatory obligations and practical adoption by data, analytics, and business teams. How do you partner effectively with an Enterprise Account Executive during a complex sales cycle? I align early on account goals, stakeholder maps, opportunity risks, and the technical path to value. I lead technical discovery and credibility while keeping the solution strategy connected to the commercial plan, ensuring both teams communicate consistently with the customer. Opportunity details ## About this role. P-146 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US. We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks’ products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Healthcare & Life Sciences (HLS) space. The impact you will have: * You work with multiple clients as the main technical voice for Databricks. * You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy * You implement the technical strategy in the account, in close understanding of the strategy. * You build a movement of technical champions within the account. * You align technical strategies around Databricks solutions. * You provide structured mentorship for other team members. * Gain the respect of your peers based on your experience, insight, and contributions. What we look for: * Proficiency at establishing virtual teams, and leading them to ultimate success within the account. * Experience working very large (> $1m ARR), global accounts. * Form relationships with executives and influencers. * Present a convincing point-of-view to important decision-makers that leads them down a path of success. * Technical in big data, data science and cloud. * An ability in data-driven business transformation, and driving change with data. * Programming experience in Python, SQL or Scala * Can travel up to 35% when needed * Bachelor Degree in computer science or related field About Databricks Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on[Twitter](https://twitter.com/databricks),[LinkedIn](https://www.linkedin.com/company/databricks) and[Facebook](https://www.facebook.com/databricksinc/). 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 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 anticipates 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). Local Pay Range $180,000—$247,500 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. 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