Specialist Solutions Architect, Data

Stripe - SF, NY, Remote - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
1154 Specialized Solutions Architecture
Tech
bigquerysnowflakeremote-countrydata
Source
stripe
First observed
2026-08-27 02:34 UTC
Last seen
2026-08-27 02:34 UTC
Source claims posted
2026-08-27 00:33 UTC
Consecutive misses
0 of 3

What the posting says

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

Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment

Preferred Qualifications

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

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #391384 2026-08-27 02:34 UTC
    Published