解决方案架构师 - 全球电信
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Solutions Architect - Global TelecommunicationsDatabricks · Remote - Texas · From 1
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为什么值得关注？
发现指数 65/100，仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
- 远程职位
分数构成
- 时效性 （随职位发布时间变化）+18
- 雇主官方来源+15
- 已披露薪资+15
- 远程职位+8
- 稀有职位+1
- 公司来源健康度+8
该职位未包含：提及签证担保、提及搬迁、未出现在监控的职位板上。
这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外，我们不做任何推测。
职位描述
机器翻译FEQ227R233
虽然鼓励所列地点以外的候选人申请该职位，但其他地点的候选人也会被考虑。
在 Databricks，我们的核心原则贯穿于我们所做的一切；营造积极主动和以客户为中心的文化，指引我们打造一个统一的平台，让每个人都能轻松使用数据科学与分析。我们致力于激励客户做出明智决策，推动其业务向前发展。我们提供用户友好且直观的平台，让洞察轻松转化为行动，并培育创意、实验和持续改进的文化。您将成为这一使命的重要一员，运用您的技术专长展示我们的 Data Intelligence Platform 如何帮助客户解决其复杂的数据挑战。您将与一个协作、以客户为中心的团队共事，团队重视创新与创造力，您将运用自己的技能打造定制化解决方案，帮助客户实现目标并引领其业务向前发展。加入我们，共同改变人们使用数据的方式，让世界更美好！
作为 Sr. Solutions Architect，您是专家级技术领导者，负责组织最复杂的客户项目。您推动消费策略，掌管高管层关系，并作为您所负责客户的决定性技术权威。您已明确自己的专长方向——一项被认可的技术专长，使您成为团队和区域内的影响力倍增者。您的工作处于深厚技术专长、战略性客户规划和高管影响力的交汇点。
您将产生的影响
• 推动组织最复杂客户项目的技术和消费策略，直接影响平台采用和收入增长。
• 掌管高层技术关系——作为企业数据和 AI 战略方面的可信顾问
• 领导最复杂的架构项目：多工作负载平台、企业级迁移、实时系统以及大规模 AI/ML
• 作为 Databricks Platform 的专家开展工作，并拥有明确的专长方向——积极指导他人并推动团队内的横向影响
• 为您的客户制定并执行竞争策略，将 Databricks 定位为优于现有和新兴平台的选择
• 协调跨职能团队（DSA、SSA、合作伙伴、产品）交付企业级解决方案
• 在技术深度、客户互动和用例优先级排序方面指导并培养初级 SA（L3–L5）
• 通过面向客户的内容、研讨会和社区参与，为 Field Engineering 的思想领导力做出贡献
我们寻找的人才
• 8 年以上解决方案架构、首席工程、技术售前领导或高级面向客户技术岗位经验
• 专家级编码能力——Python、SQL，最好还有 Spark/PySpark。您将在面试中完成现场编码评估和平台构建
• 在企业数据架构方面拥有深厚专长：大规模分布式系统、流式/实时、湖仓设计模式、数据治理框架和云原生平台
• 专家级 Databricks Platform 知识（或在竞争平台中具备同等深度，并展现出快速学习能力）
• 已明确的技术专长方向并具备公认的深度——例如实时架构、ML/AI 平台、数据治理、大规模迁移或行业特定解决方案
• 在大型客户中推动消费增长和平台采用方面有可靠的成功记录
• 高管风范——能够就长期数据和 AI 战略影响总监、副总裁和 C 级利益相关者
任职要求
• 能够将 30% 的时间用于出差拜访客户
• 强大的战略思维——将技术架构决策与业务成果和收入影响联系起来
• 计算机科学、工程或定量学科（或同等经验）的学士或硕士学位；更高学位更受重视
加分项：
• Databricks 认证
• 曾在 Databricks、Snowflake、AWS、Google、Microsoft 或顶级数据/AI 公司工作过
• 已发表的思想领导力成果（博客、会议演讲、开源贡献）
• 行业垂直领域专长（电信）并具备高管级领域公信力
面试流程：招聘人员筛选 → 招聘经理筛选 → 设计与架构面试 → 现场编码评估 → 构建、演示、推介！展示 → 背景调查
#CMEG
福利待遇
在 Databricks，我们致力于提供全面的福利和待遇，以满足所有员工的需求。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于培育多元包容的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业机会的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要接触出口管制技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅基于此原因而拒绝继续推进某位申请人。
薪资
Databricks 致力于公平公正的薪酬实践。该职位的薪资范围列于下方，代表非佣金制职位的预期基本工资范围，或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的多项因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计会使用该范围的完整区间。该职位的总薪酬方案还可能包括年度绩效奖金资格、股权以及上文列出的福利。如需了解您所在地点属于哪个薪资区间，请访问我们的页面。
第 1 区薪资范围 $219,100 — $301,300 USD
第 2 区薪资范围 $219,100 — $301,300 USD
第 3 区薪资范围 $219,100 — $301,300 USD
第 4 区薪资范围 $219,100 — $301,300 USD
关于 Databricks
Databricks 是一家数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的《财富》500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山，在全球设有 30 多个办事处，提供统一平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
FEQ227R233
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
The Impact You Will Have
• Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
• Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
• Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team
• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
• Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
• Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
What We Look For
• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
• Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
• Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
• Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
• Proven track record of driving consumption growth and platform adoption in large accounts
• Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
任职要求
• Ability to travel to customers 30% of the time
• Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
Nice to Have:
• Databricks certifications
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry vertical expertise (telco) with executive-level domain credibility
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
#CMEG
福利待遇
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.
薪资
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 here .
Zone 1 Pay Range $219,100 — $301,300 USD
Zone 2 Pay Range $219,100 — $301,300 USD
Zone 3 Pay Range $219,100 — $301,300 USD
Zone 4 Pay Range $219,100 — $301,300 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 .