[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 – Digital Native Business (Healthtech) 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 views28Application actions3Application 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 Solutions Architect to own technical strategy and platform adoption for digital-native Healthtech customers. The role blends technical pre-sales, customer architecture leadership, solution development, and account growth across data engineering, ML/AI, streaming, and lakehouse platforms. Candidates need strong Python and SQL skills, public-cloud deployment experience, and the ability to conduct live coding, architecture reviews, and executive-level technical conversations. Healthcare data standards and compliance knowledge, including HL7, FHIR, EDI/X12, ICD-10, and CPT, are valuable differentiators. This is a high-impact customer-facing role supporting complex production implementations and competitive technical evaluations. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position requires deep hands-on expertise across distributed data systems, cloud architecture, ML/AI, and healthcare data domains, alongside strong technical pre-sales capability. Success depends on independently leading complex customer engagements, live coding, demos, and strategic architecture decisions. ## 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 an expected USD salary/OTE range of $180,000–$247,500. The posting does not state a cadence, but the range is reasonably inferred to be annual for a senior full-time US Solutions Architect role. A typical estimated US market range for comparable senior data and AI solutions-architecture roles is approximately $180,000–$260,000 annually, excluding potential equity and bonuses. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solutions Architecture](https://jobicy.com/jobs?search_keywords=Solutions%20Architecture.md)[Technical Pre-Sales](https://jobicy.com/jobs?search_keywords=Technical%20Pre-Sales.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Artificial Intelligence](https://jobicy.com/jobs?search_keywords=Artificial%20Intelligence.md)[Streaming Architecture](https://jobicy.com/jobs?search_keywords=Streaming%20Architecture.md)[Lakehouse Architecture](https://jobicy.com/jobs?search_keywords=Lakehouse%20Architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Healthcare Data Standards](https://jobicy.com/jobs?search_keywords=Healthcare%20Data%20Standards.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md) Sample interview questionsHow would you design a lakehouse architecture for a Healthtech customer that ingests FHIR and claims data in near real time?I would define secure ingestion patterns for FHIR APIs and batch claims feeds, land raw data in governed bronze tables, and apply validation, normalization, and terminology mapping through silver and gold layers. I would incorporate streaming where latency requires it, enforce access controls and auditability, and expose curated models for analytics and ML while accounting for HIPAA and data-retention requirements. Describe a time you influenced a customer to adopt a new data platform during a competitive evaluation. I would begin by identifying the customer’s technical and business success criteria, then create a targeted proof of value using representative workloads and measurable outcomes. I would demonstrate differentiated capabilities, address migration and governance concerns, and align executive stakeholders on how the platform improves time to insight, reliability, and long-term operating cost. How do you approach a live coding assessment involving a data pipeline problem? I first clarify inputs, data quality expectations, scale, latency, and output requirements. I then build a simple correct solution in Python or SQL, explain trade-offs as I progress, add validation and observability, and discuss how I would productionize it with orchestration, testing, security, and performance optimization. What trade-offs would you discuss when choosing batch versus streaming processing for a healthcare workload? I would evaluate clinical or operational latency needs, event volume, ordering and late-arrival behavior, cost, reliability, and downstream consumption patterns. Streaming is appropriate for time-sensitive monitoring and event-driven workflows, while batch can be simpler and more economical for periodic reporting, historical reconciliation, and many governed analytics workloads. How would you communicate a complex ML/AI platform architecture to both engineering leaders and executive stakeholders? For engineering leaders, I would use detailed diagrams, interfaces, security controls, reliability assumptions, and implementation trade-offs. For executives, I would focus on the business problem, expected outcomes, delivery milestones, risk management, and success metrics, connecting technical capabilities to adoption, productivity, and strategic value. Opportunity details ## About this role. The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Healthtech space The Impact You Will Have * Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth * Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics * Serve as a trusted technical advisor to customer architects, engineering leads, and Directors * Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions * Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain * Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs * Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For * 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role * Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills * Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms * Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) * Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis * Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations * Track record of driving platform adoption and consumption growth within accounts * Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences * Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) * [Desired] Expertise in one of the following: Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks. * Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies Nice to Have: * Databricks certifications (Data Engineer, ML, Platform) * Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you’ll position against * Background in a data/AI company or cloud provider * Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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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