资深解决方案工程师-数字原生业务（战略客户）
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)
职位描述
作为高级解决方案工程师，你将独立负责客户的工程技术对接，主导需求分析、方案设计和平台演示。你是一个能够编写代码、架构设计并进行展示的实践者，结合技术深度与客户沟通能力，推动Databricks的采用。你将负责一线客户关系，并与客户经理合作制定技术策略，以扩大数字原生客户对平台的使用。
你将产生的影响
- 独立主导客户工作负载的技术需求分析和方案设计，涵盖数据工程、分析和机器学习
- 在Databricks平台上构建并交付有说服力的原型验证和现场演示，推动技术成果
- 负责与客户工程师、数据团队和技术负责人的一线技术关系
- 与客户经理合作制定账户级别的技术策略，以提升平台使用量
- 通过实际演示阐述Databricks的差异化优势，应对竞争环境
- 为更广泛的SA社区贡献可复用的技术资产（如笔记本、方案加速器、参考架构）
我们寻找的人选
- 4年以上数据工程、解决方案架构、技术售前或实际咨询岗位经验
- 精通Python和SQL，具备调试、优化和编写生产级代码的能力——现场编程是面试的必经环节
- 至少在一个公有云平台（AWS、Azure或GCP）上有设计和实施数据解决方案的实际经验
- 了解分布式数据系统：Apache Spark™、Delta Lake或类似系统（Hadoop、Kafka、Flink）
- 有领导技术客户对话的经验——包括需求分析、白板设计和架构评审
- 熟悉以下任一领域：数据工程（ETL/ELT、银牌架构、流处理）、数据科学/机器学习（模型训练、MLOps）或SQL分析
- 具备出色的演示和讲解能力——面试期间你需要构建并展示一个实时解决方案
- 计算机科学、工程或量化领域的学士或硕士学位（或同等经验）
加分项：
- Databricks认证或使用Databricks平台的经验
- 使用Unity Catalog、Lakeflow Spark声明式管道或MLflow的经验
- 在数据/AI公司、云服务提供商或技术咨询公司的工作背景
面试流程：R
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The Role
As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage within Digital Native customers.
The Impact You Will Have
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
- Own frontline technical relationships with customer engineers, data teams, and technical leads
- Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
- Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
- Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
What We Look For
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
- Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
- Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
- Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
- Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
- Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
- Strong presentation and demo skills — you will build and present a live solution during the interview
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certification or experience with the Databricks Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
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
$152,300—$209,450 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.