解决方案架构师机会 - Lakebase（解决方案架构师、高级解决方案架构师）
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Solutions Architect Opportunities - Lakebase (Solutions Architect, Sr. Solutions Architect)Databricks · Northeast - 美国 · From 1
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发现指数 67/100，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
- 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
- 已披露薪资+15
- 稀有职位+11
- 公司来源健康度+8
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职位描述
机器翻译SLSQ127R199
使命
解决方案架构师（Lakebase）团队执行 Databricks 的战略性产品运营模式，该模式更加聚焦于早期、高优先级的产品线，以建立产品市场契合度，并为快速收入增长奠定方向。他们属于全球市场推广团队的一部分，但个人将负责特定的本地区域。客户可能跨越一个或多个业务部门和垂直行业。通过与直销客户团队合作，他们将共同接触客户，建立必要的关系，深入定位特定产品线，从而为客户提供令人信服的理由来采用并扩大该产品的使用。他们了解正确的方法、护栏以及成功采用该产品线所需的步骤，以帮助客户实现其业务目标。
解决方案架构师（Lakebase）与对应特定产品线的客户经理配对，并承担相应的具体目标。他们将共同制定并实施针对所分配客户群的策略，开发演示文稿、演示和其他资产，并交付这些内容，以便客户在决定以有意义的方式采用该产品线时做出明智决策。
Lakebase 产品线需要以下核心技术能力：
• 10 年以上事务型数据库（OLTP）经验，涵盖工程、产品开发、管理和售前，并具有设计和交付面向客户解决方案的成功记录。
• 在影响 OLTP 产品方面具备可信度，拥有塑造和优先排序路线图能力所需的市场洞察力。
• 具有架构解决方案的经验，能够将事务型数据系统集成到更广泛的大数据、Lakehouse 和 AI 生态系统中。
• 在灾难恢复、高可用性、备份和恢复、横向扩展方法、身份和安全管理、迁移（供应商到供应商、本地到云）方面具备基础设施、平台和管理专业知识。
你将产生的影响
• 与 GTM 领导层和客户团队合作，在你的区域内设计并执行高影响力的互动策略。
• 作为值得信赖的顾问，担任专家解决方案架构师和“倡导者”，与利益相关者建立技术可信度，以推动产品采用和愿景。
• 通过研讨会和开发面向客户的资料，大规模赋能客户，帮助提升技术知识和思想领导力。
• 通过将来自现场的数据驱动洞察转化为面向产品和工程团队的战略建议，影响产品路线图。
• 作为现场的三级升级点，处理该产品线中最复杂的技术挑战，确保客户在关键任务环境中取得成功。
能力与职责
• 6 年以上面向客户、售前或咨询角色经验，影响技术高管，推动高层数据战略和产品采用。
• 具备与客户经理共同规划大型区域，并在 GTM 和研发团队之间以高度协同、跨职能方式运作的成功能力。
• 具有与全球系统集成商（GSI）和第三方咨询组织合作以推动客户成果的经验。
• 熟练使用 SQL 和 Python 进行编程、调试和问题解决。
• 具有在主要公有云环境（AWS、Azure 或 GCP）中构建解决方案的实践经验。
• 在数据工程、数据仓库、AI、ML、治理、事务型系统、应用开发和流处理等领域具有广泛经验（其中两个或更多）和理解。
• 计算机科学、应用数学、工程或类似技术领域的本科学位（或更高学位）。
• 具有在快节奏、面向客户的环境中推动复杂项目完成的成功记录。
福利待遇
在 Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。如需了解你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和包容的文化，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。申请 Databricks 职位的人士不会因年龄、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、退伍军人身份以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基本工资范围，或佣金制职位的目标收入。实际薪酬方案基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、股权以及上述福利的资格。如需了解你所在地区属于哪个薪资范围，请访问我们的页面此处。
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 构建和扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山，在全球拥有 30 多个办公室，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。
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职位描述
SLSQ127R199
Mission
The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakebase product-line requires the following core technical competencies:
• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)
The impact you will have
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.
Competencies & Responsibilities
• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.
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 .