远程工作雷达

专员解决方案架构师,数据

Specialist Solutions Architect, Data

开发工程全球可投
公司Stripe
薪资未公开
工作地点SF, NY, Remote
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20 天前
数据来源Greenhouse
前往企业招聘页投递 →
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)。

我们是谁

关于 Stripe

Stripe 是一家面向企业的金融基础设施平台。数以百万计的公司——从全球最大的企业到最具雄心的初创公司——使用 Stripe 来接受支付、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP,而我们前方有大量工作要做。这意味着你有机会在从事职业生涯中最重要的工作的同时,让全球经济触手可及。

关于团队

Specialist Solutions Architects(SSA)是与特定 Stripe 解决方案和客户购买中心对齐的领域专家。我们深入了解特定解决方案产品,并深刻理解客户的挑战。我们与专业产品销售团队在交易中保持一致,为更广泛的售前团队提供复杂机会的建议,支持管道开发和收入实现,作为进入市场销售策略的顾问,并为我们的产品和工程团队提供关键见解。

你将做什么

你将与销售和售前团队紧密合作,推动管道和收入目标,同时教育产品和工程团队了解市场趋势,并对产品路线图产生重要影响。你将与高级客户业务领导者建立深厚的关系,并与新老客户一起扩展 Stripe 的解决方案。作为主题专家,你将通过创建可重用资产并指导他人处理复杂、高价值的机会来扩大整个组织的规模。

职责

  • 作为 Stripe 数据产品的主题专家(数据管道/导出、收入和对账报告、分析工具),加速机会
  • 深入理解企业如何存储和建模支付和收入数据——数据管道进入 Snowflake、BigQuery、Redshift 和 Databricks;ETL/ELT 模式;以及这些数据如何用于财务报告、对账和商业智能
  • 对客户的现有数据架构、仓库和报告栈进行深入探索,设计与 Stripe 数据能力相匹配的分析和财务需求的解决方案
  • 建议客户如何设计应对复杂性:多实体和多货币报告、自定义数据模型、与现有 BI 工具(Looker、Tableau、Sigma、Metabase)和 ERP/GL 系统的集成,以及数据新鲜度/延迟要求
  • 创建并分享
查看英文原文

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams.

What You'll Do

You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities.

Responsibilities

  • Act as a subject matter expert on Stripe's Data products (data pipelines/export, revenue and reconciliation reporting, and analytics tooling) to accelerate opportunities
  • Demonstrate a deep understanding of how businesses warehouse and model payments and revenue data — data pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; and how that data feeds financial reporting, reconciliation, and BI
  • Conduct deep discovery of customers' existing data architecture, warehouse, and reporting stack to architect solutions that align Stripe's Data capabilities with their analytics and finance requirements
  • Advise customers on how to design for complexity: multi-entity and multi-currency reporting, custom data models, integration with existing BI tools (Looker, Tableau, Sigma, Metabase) and ERP/GL systems, and data freshness/latency requirements
  • Create and share best practices and reusable assets such as reference architectures to enhance the quality and efficiency of the broader sales and pre-sales organizations
  • Partner closely with the Data product sales team and actively drive opportunities for Stripe's largest customers, leading solution strategy and owning key customer relationships
  • Serve as a "Voice of the Customer" to drive product and feature request prioritization
  • Identify product, industry, implementation, and competitive trends, and provide actionable insights to product stakeholders and sales to influence Stripe's Data product roadmap
  • Act as an escalation point to drive complex technical issues to resolution with Stripe's engineering team
  • Represent the technical health of the business on quarterly sales forecast calls and highlight deal blockers with proposed solutions
  • Support marketing events including executive briefings, conferences, user groups, and trade shows

Who You Are

You're capable of engaging in both business-level and technical conversations at multiple levels of a customer organization, including finance, data, and engineering leadership. You enjoy working on products that require deep technical understanding combined with business context, and you're as comfortable in a warehouse schema as you are in a revenue conversation with a CFO. You're excited to become an expert and to share that knowledge broadly.

If you meet the minimum requirements below, we encourage you to apply — the preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 7+ years of experience in a technical sales, pre-sales, or solutions architecture role, with a focus on data platforms, analytics, or financial reporting
  • 3+ years of hands-on experience with data warehousing and pipeline architecture (e.g., Snowflake, BigQuery, Redshift, Databricks) and ETL/ELT tooling
  • Strong understanding of how payments and revenue data maps to financial reporting and reconciliation workflows
  • Experience working with or implementing BI/analytics platforms (Looker, Tableau, Sigma, Metabase, or similar)
  • Strong knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained
  • Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex technical concepts to both technical and non-technical audiences
  • A proven ability to build strong collaborative working relationships with business partners
  • Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment

Preferred Qualifications

  • Experience integrating Stripe or other RESTful APIs into data pipelines or web applications
  • Familiarity with complex reporting scenarios: multi-entity consolidation, revenue recognition data models, or usage-based billing data
  • Experience with SQL at an advanced level and comfort working directly in a customer's data warehouse during discovery
  • Experience as a subject matter expert in financial services, fintech, or a data/analytics vertical
  • Pre-sales experience with Enterprise customers
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