Specialist Solutions Architect, Data

Details

Stripe is a financial infrastructure platform for businesses. The Specialist Solutions Architect will serve as a domain expert for Stripe's Data solutions, partnering with specialist product sellers, pre-sales teams, customers, product, and engineering teams.

Responsibilities

• Act as a subject matter expert on Stripe's Data products, including data pipelines and exports, revenue and reconciliation reporting, and analytics tooling.
• Advise on data warehousing and modeling for payments and revenue data, including pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; and feeds into financial reporting, reconciliation, and business intelligence systems.
• Discover customers' existing data architecture, warehouses, and reporting stacks, and architect solutions aligned with their analytics and finance requirements.
• Advise on multi-entity and multi-currency reporting, custom data models, integrations with Looker, Tableau, Sigma, Metabase, and ERP/GL systems, as well as data freshness and latency requirements.
• Create reusable assets and reference architectures to improve the broader sales and pre-sales organization.
• Partner with the Data product sales team to drive opportunities for Stripe's largest customers, lead solution strategy, and own key customer relationships.
• Provide customer feedback to support product and feature prioritization.
• Identify product, industry, implementation, and competitive trends and provide insights to influence Stripe's Data product roadmap.
• Escalate complex technical issues and work with Stripe's engineering team to resolve them.
• 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.

Requirements

• 7+ years of experience in technical sales, pre-sales, or solutions architecture, focused on data platforms, analytics, or financial reporting.
• 3+ years of hands-on experience with data warehousing and pipeline architecture, such as Snowflake, BigQuery, Redshift, or 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 and analytics platforms such as Looker, Tableau, Sigma, Metabase, or similar tools.
• Strong knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained.
• Exceptional communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
• Ability to build strong collaborative relationships with business partners, deal effectively with ambiguity, and thrive in a fast-moving environment.

Preferred Qualifications

• Experience integrating Stripe or other RESTful APIs into data pipelines or web applications.
• Familiarity with multi-entity consolidation, revenue recognition data models, or usage-based billing data.
• Advanced SQL skills and experience working directly in customer data warehouses during discovery.
• Subject matter expertise in financial services, fintech, or a data and analytics vertical.
• Enterprise customer pre-sales experience.