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StripeStripe

Specialist Solutions Architect, Data

Leads pre-sales solution architecture for Stripe’s Data products, helping enterprise customers design data warehouse, analytics, reporting, and reconciliation solutions. Requires 7+ years in technical sales, pre-sales, or solutions architecture and deep expertise in data platforms and financial workflows.

About the job

Responsibilities

  • Act as a subject matter expert on Stripe Data products, including data pipelines and export, revenue and reconciliation reporting, and analytics tooling.
  • Collaborate with sales and pre-sales teams to accelerate opportunities and drive pipeline and revenue targets.
  • Architect solutions connecting Stripe Data capabilities with customers’ analytics and finance requirements.
  • Discover and assess customers’ data architectures, warehouses, reporting stacks, BI tools, and ERP/GL systems.
  • Advise on multi-entity and multi-currency reporting, custom data models, data freshness, and integrations with Looker, Tableau, Sigma, Metabase, Snowflake, BigQuery, Redshift, and Databricks.
  • Create reusable assets, reference architectures, and best practices for sales and pre-sales teams; coach colleagues on complex opportunities.
  • Lead solution strategy and key customer relationships for large enterprise opportunities.
  • Serve as the voice of the customer, influencing product and feature prioritization and the Data product roadmap.
  • Identify product, industry, implementation, and competitive trends and provide actionable insights.
  • Escalate complex technical issues and work with engineering teams toward resolution.
  • Represent technical business health on sales forecast calls and identify deal blockers.
  • Support executive briefings, conferences, user groups, trade shows, and other marketing events.

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, pipeline architecture, and ETL/ELT tooling.
  • Strong understanding of payments and revenue data mapping to financial reporting and reconciliation workflows.
  • Experience implementing or working with BI and analytics platforms.
  • Strong knowledge of software engineering and API integration patterns.
  • Exceptional communication, presentation, and interpersonal skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
  • Ability to build collaborative relationships with business partners and work effectively in ambiguous, fast-moving environments.

Nice-to-haves

  • 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, data, or analytics.
  • Enterprise pre-sales experience.

Skills

Data Warehousing, Etl/Elt, Snowflake, BigQuery, Amazon Redshift, Databricks, SQL, Looker, Tableau, Sigma, Metabase, REST APIs, Api Integration Patterns, Data Pipelines, Financial Reporting

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