Specialist Solutions Architect, Data

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 -

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 knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained.

Act as a subject matter expert on Stripe's Data products to accelerate opportunities; Demonstrate understanding of how businesses warehouse and model payments and revenue data; Conduct deep discovery of customers' data architecture to architect solutions; Advise on multi-entity/multi-currency reporting, integration with BI tools and ERP/GL systems; Create reusable assets like reference architectures; Partner with Data product sales team to drive opportunities; Serve as a Voice of the Customer to influence product roadmap; Identify product/industry trends and provide actionable insights; Escalation point for complex technical issues with engineering; Represent technical health in quarterly sales forecast calls; Support marketing events.