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Snowflake is seeking a Principal Industry Architect for Financial Services to drive transformational change across the banking and financial services ecosystem. This is a strategic, highly visible role where you'll partner with enterprise customers—banks, financial institutions, and fintech organizations—to architect data, analytics, and AI-powered solutions that modernize core systems and unlock business value.
You will act as a trusted advisor and visionary industry expert, blending deep financial services domain knowledge with technical architecture expertise. Your responsibilities include:
• Strategic Customer Engagement: Build trusted relationships with C-suite executives, CDOs, CROs, and enterprise architects at major financial institutions. Drive customer adoption of Snowflake by identifying and advancing strategic opportunities where your industry expertise creates measurable business outcomes.
• Solution Architecture & Innovation: Translate core banking use cases—fraud detection, credit risk modeling, regulatory reporting, customer 360—into scalable, AI-native architectures. Design end-to-end blueprints and demo showcases that integrate Snowflake with customers' broader financial services ecosystems.
• Repeatability & Scale: Lead the development of repeatable enterprise architectures and solution assets for banking that enable global adoption. Create persona-driven use case journeys, system architecture documentation, and field enablement playbooks.
• Product Influence: Serve as a conduit between customers and Snowflake's product teams, providing structured feedback on banking industry needs to shape the product roadmap.
• Thought Leadership: Drive technical visibility through blogs, conference talks (Money20/20, Sibos, InsureTech Connect), webinars, and industry marketing activities.
Required: 10+ years architecting, consulting, or implementing technology for core banking and financial services. Deep expertise in financial services data, core banking platforms (Temenos, FIS, Fiserv, Finacle), risk/compliance systems, and regulatory frameworks (Basel III/IV, DORA, IFRS 9/17). Strong understanding of data science, ML applications (credit scoring, fraud detection, AML), and public cloud technologies. Consultative problem-solving skills and ability to translate business priorities into technical solutions.
