远程工作雷达

解决方案架构师 - 制造业

Solutions Architect - Manufacturing

开发工程全球可投
公司Databricks
薪资未公开
工作地点Remote - Illinois; Remote - Michigan; Remote - New York
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间2026-08-13
数据来源Greenhouse
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

FEQ427R286

我们正在寻找有经验的售前专业人士,有帮助大型企业变得更数据驱动的显著业绩。与企业客户经理(AE)合作,解决方案架构师为我们的最大和最重要的客户定义并指导技术策略,从而推动我们产品的更广泛应用以及机器学习和人工智能的更广泛和深入采用。您将依靠在价值销售、技术客户管理和技术领导方面的扎实背景,以在这些客户中取得更大成功。

您与客户的合作将包括与实际操作资源配合。您将构建概念验证并展示Databricks的产品,需要具备技术能力,并理解机器学习和人工智能在目标客户各个垂直领域的重要用例中的相关性和应用。您将成为客户的的技术合作伙伴,与实际操作资源一起构建概念验证并展示Databricks产品。对于目标客户在不同垂直领域中的各种关键用例,对机器学习和人工智能的相关性和应用有深入理解是该职位的关键。

成果

  • 作为Databricks的主要技术声音,与多个客户合作。
  • 引导客户进行转型之旅,帮助他们评估并将其作为战略的一部分采用Databricks。
  • 在客户账户中实施技术策略,清楚理解该策略及其业务价值。
  • 在客户账户内建立技术拥护者的群体。
  • 在Databricks解决方案周围协调技术策略。
  • 为其他团队成员提供结构化的指导。
  • 通过您的经验、见解和贡献赢得同事的尊重。

能力要求:

  • 在建立虚拟团队并在客户账户中带领它们取得最终成功方面有经验。
  • 在处理年收入超过100万美元的全球客户方面有经验。
  • 在与高管和影响者建立关系方面有经验,包括内部和客户方。
  • 能够向重要决策者提出有说服力的观点,引导他们走向成功。
  • 在数据工程、云数据仓库和/或数据科学方面有技术经验。
  • 具备数据驱动型业务转型和通过数据推动变革的能力。
  • 具备Python、R、Scala或Java的生产级编程经验。
  • 有与利益相关者进行现场/实时编码演示的经验。
查看英文原文

FEQ427R286

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts.

Your work with customers will include partnering with hands-on resources.  You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.

Outcomes

  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You provide structured mentorship for other team members.
  • Gain your peers' respect through your experience, insight, and contributions.

Competencies:

  • Experience in establishing virtual teams and leading them to ultimate success within the account.
  • Experience working with very large (> $1m ARR), global accounts.
  • Experience building relationships with executives and influencers, both internally and with customers.
  • Present a convincing point of view to important decision-makers that leads them down a path of success.
  • Technical experience in data engineering, cloud data warehousing, and/or data science
  • An ability in data-driven business transformation and driving change with data.
  • Production programming expertise in Python, R, Scala, or Java
  • Experience practicing live/vibe coding sessions with stakeholders
  • Nice to have: Databricks Certifications

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 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
$180,000—$247,500 USD

Zone 2 Pay Range
$180,000—$247,500 USD

Zone 3 Pay Range
$180,000—$247,500 USD

Zone 4 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.

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