解决方案架构师 - 数字原生业务（健康科技）
Solutions Architect - Digital Native Business (Healthtech)
职位描述
作为解决方案架构师，你将主导客户的整体技术策略——负责架构讨论、推动平台采用，并作为客户技术负责人和架构师的可信赖顾问。你结合深厚的技术专长与战略思维，将 Databricks 定位为客户的数据和 AI 策略基础。你在某一技术领域具备专业能力，并在团队中因该领域的深度而受到认可。你了解 ML 与 AI 在健康科技领域数字原生客户重要用例中的相关性和应用
你将产生的影响
- 负责客户账户的端到端技术策略，从初步调研到生产部署及使用增长
- 主导复杂的架构讨论——设计涵盖数据工程、ML/AI 和实时分析的可扩展、生产级解决方案
- 作为客户架构师、工程负责人和总监的可信赖技术顾问
- 在竞争场景中通过定制化解决方案展示 Databricks 的差异化优势，取得技术上的胜利
- 发展并确立一个新兴的技术专长（范式）——成为团队在该领域的首选资源
- 协调跨职能资源（DSAs、SSAs、合作伙伴）以满足复杂客户的需求，提供全面的解决方案
- 通过提供结构化的客户需求和竞争差距反馈来影响产品方向
我们寻找的人选
- 6年以上解决方案架构、数据工程、技术预销售或高级技术岗位经验
- 精通 Python 和 SQL 编程——必须展示现场编码、调试和解决方案构建能力
- 深入掌握分布式数据系统架构：设计可扩展的数据流水线、流架构、数据湖仓模式以及云原生数据平台
- 熟悉 Databricks 平台（或展示出快速掌握的能力），并在某一领域（如实时/流处理、ML/AI、数据治理、迁移）具备发展中的技术专长
- 具备与高级技术利益相关者进行架构讨论的经验——包括白板演示、设计评审和权衡分析
- 具有在公有云（AWS、Azure 或 GCP）上进行生产部署的经验，包括基础设施、安全和治理方面的考虑
- 有推动项目落地的记录
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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.
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, X, YouTube, and Instagram.
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.
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.