Specialist Solutions Architect, Data

🕒 il y a 23 jours

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Stripe

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round en 2021-05

Fintech • eCommerce • B2B

Stripe est une plateforme d'infrastructure financière pour les entreprises. Des millions d'entreprises - des plus grandes entreprises mondiales aux startups les plus ambitieuses - utilisent Stripe pour accepter les paiements, accroître leur chiffre d'affaires et accélérer de nouvelles opportunités commerciales. Basée à San Francisco et à Dublin, la société vise à augmenter le PIB de l'internet.

Description

• Act as a subject matter expert on Stripe's Data products, including data pipelines/export, revenue and reconciliation reporting, and analytics tooling • Demonstrate understanding of payments and revenue data warehousing and modeling, including pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; financial reporting, reconciliation, and BI • Conduct customer discovery of data architecture, warehouses, and reporting stacks to architect aligned solutions • Advise customers on multi-entity and multi-currency reporting, custom data models, BI tool integrations, ERP/GL systems, and data freshness/latency requirements • Create reusable assets and reference architectures and share best practices across sales and pre-sales organizations • Partner with the Data product sales team, drive opportunities for large customers, lead solution strategy, and own key customer relationships • Serve as the Voice of the Customer for product and feature prioritization • Identify product, industry, implementation, and competitive trends to influence the Data product roadmap • Escalate complex technical issues to Stripe's engineering team and drive them to resolution • Represent technical business health on quarterly sales forecast calls and highlight deal blockers with proposed solutions • Support marketing events, including executive briefings, conferences, user groups, and trade shows • Collaborate with sales, pre-sales, product, engineering, and senior customer leaders to drive pipeline and revenue targets

🎯 Exigences

• 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, including 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 such as 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 technical and non-technical audiences • 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