Specialist Solutions Architect, Data

Stripe · SF, NY, Remote · 1154 Specialized Solutions Architecture · listed August 27, 2026

The shape of it

Seniority
Principal
Experience asked
3–7 years
Where
Remote
Requirements listed
8
Length
768 words

In the posting’s own words

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 it asks for · 8

  • 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

Also a plus

  • 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

What the job covers

  • 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

Tools and skills named

Data
  • Data pipelines4×
  • ETL4×
  • Data warehouse2×
  • Databricks2×
  • Looker2×
  • Snowflake2×
  • Tableau2×
Go to market
  • Go-to-market
  • Pipeline generation
  • Solutions architecture
Product & design
  • Roadmap2×
Frameworks
  • REST
Languages
  • SQL
Ways of working
  • Mentorship

Words the posting leans on

  • data20×
  • customer12×
  • product11×
  • solutions8×
  • experience7×
  • reporting7×
  • revenue7×
  • sales7×
  • technical7×
  • pipeline6×
  • complex5×
  • deep5×
  • engineering5×
  • pre-sales5×
  • requirements5×
  • architecture4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 30, 2026 and last changed by Stripe on August 27, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.