Specialist Solutions Architect, DataActive

The opportunity

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.

What you'll do

  • 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

What they're looking for

  • + years of experience in a technical sales, pre-sales, or solutions: architecture role, with a focus on data platforms, analytics, or financial reporting
  • + 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