专家解决方案架构师 - 云基础设施与平台 (Azure)
查看雇主原标题
Specialist Solutions Architect - Cloud Infrastructure & Platform (Azure)Databricks · 美国
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
为什么值得关注?
发现指数 49/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 稀有职位匹配
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 稀有职位+8
- 公司来源健康度+8
该职位未包含:已披露薪资、远程职位、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FEQ427R143
作为基础设施与平台专家解决方案架构师(SSA),您将担任值得信赖的技术顾问,指导企业客户完成其在 Microsoft Azure 上 Databricks 部署的架构、管理和安全。您将深厚的技术专长与战略思维相结合,将 Databricks 定位为客户数据与 AI 战略的基础。
该职位可远程办公。
您将产生的影响
• 指导战略客户完成 Azure 上 Databricks 的完整生命周期,包括平台管理,从最初的架构设计到生产部署
• 设计安全、可扩展的企业部署架构,满足复杂的 Azure 网络(VNet、Private Endpoints)、身份(Microsoft Entra ID)和安全合规标准
• 在 Microsoft Azure 基础设施、基础设施即代码(IaC)、云网络和身份管理等核心领域担任主题专家
• 通过定制构建的解决方案展示 Databricks 的差异化优势,在竞争场景中推动技术胜出
• 协调跨职能资源(DSA、SA、SSA、合作伙伴),为复杂的客户需求提供全面的解决方案
• 通过提供关于客户需求和竞争差距的结构化反馈,影响产品方向
我们寻找的人才
• 6 年以上解决方案架构、技术售前或高级实操技术岗位经验
• 在以下领域具备高级专业知识:
• 安全与身份:Azure 安全控制、平台/网络/数据安全、加密、漏洞管理、合规以及身份协议(Microsoft Entra ID / SCIM、OAuth、SAML、Federation)
• 网络与部署:Azure 企业网络(VNet 对等互连、ExpressRoute、Private Link)、网络路由、性能优化和大规模部署管理
• 平台管理:高可用性、灾难恢复、集群编排、可观测性(Azure Monitor、Log Analytics)和 Azure 成本管理
• 基础设施自动化(InfraOps):使用 IaC 工具(例如 Terraform、Bicep、ARM)进行实操自动化,以构建、维护和扩展复杂的 Azure 环境
• 精通 Python 和 SQL 编码——您必须展示实时编码、调试和构建解决方案的能力
• 在分布式数据系统架构方面具备深厚专业知识:设计可扩展的管道、流式架构、湖仓模式以及云原生数据平台
• 精通 Databricks 平台(或具备证明能够快速达到精通的能力),并在某一领域(例如实时/流式、ML/AI、数据治理、迁移)逐步形成技术专长
• 具备与高级技术利益相关者主导架构讨论的成熟能力——白板演示、设计评审和权衡分析
• 有推动客户账户内平台采用率和消费增长的良好记录
• 出色的沟通能力——能够将复杂架构转化为面向技术和高管受众的商业价值
• 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
• 愿意根据需要出差最多 30%
加分项
• Databricks 认证(Data Engineer、ML、Platform)
• Microsoft Azure 认证(Azure Solutions Architect Expert、Azure Data Engineer)
• 具有竞争平台经验(Snowflake、AWS 原生服务、Azure Synapse)——了解您将要定位竞争的格局
• 具有数据/AI 公司或云服务商的背景
福利待遇
在 Databricks,我们致力于提供满足所有员工需求的全面福利和津贴。如需了解您所在地区所提供福利的具体详情,请点击此处。
我们对多元化和包容性的承诺
在 Databricks,我们致力于营造多元化和包容性的文化,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 寻求就业的个人,其考量不因年龄、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、社会经济地位、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访问受出口管制的技术或源代码,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拒绝继续推进申请人。
薪资
Databricks 致力于公平和公正的薪酬实践。该职位的薪资范围列于下方,代表非佣金制职位的预期薪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若干因素,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 预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地区属于哪个范围的更多信息,请访问我们的页面此处。
本地薪资范围 $180,000 — $247,500 USD
关于 Databricks
Databricks 是数据与 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、分析和代理。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
FEQ427R143
As an Infrastructure & Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on Microsoft Azure. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.
This role can be remote.
The impact you will have
• Guide strategic customers through the full lifecycle of Databricks on Azure, including platform administration, from initial architectural design to production deployment
• Architect secure, scalable enterprise deployments that satisfy complex Azure networking (VNets, Private Endpoints), identity (Microsoft Entra ID), and security compliance standards
• Serve as a subject matter expert in core areas such as Microsoft Azure infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Orchestrate cross-functional resources (DSAs, SAs, 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, technical pre-sales, or a senior hands-on technical role
• Advanced expertise across the following areas: • Security & Identit y: Azure security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (Microsoft Entra ID / SCIM, OAuth, SAML, Federation)
• Networking & Deployments: Azure enterprise networking (VNet peering, ExpressRoute, Private Link), network routing, performance optimization, and large-scale deployment management
• Platform Administration: High availability, disaster recovery, cluster orchestration, observability (Azure Monitor, Log Analytics), and Azure cost management
• Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g., Terraform, Bicep, ARM) to build, maintain, and scale complex Azure environments
• 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
• 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)
• Willingness to travel up to 30% as needed
Nice to Have
• Databricks certifications (Data Engineer, ML, Platform)
• Microsoft Azure certifications (Azure Solutions Architect Expert, Azure Data Engineer)
• 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
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 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 .