Base Salary
$187k - $246k/yr
Responsibilities
- Partner with banking and financial services customers and senior executives on strategic opportunities and Snowflake adoption.
- Design end-to-end data- and AI-powered solution architectures, future-state blueprints, technical use-case presentations, and demo showcases.
- Create repeatable enterprise architectures, persona journeys, system/application architectures, workshops, playbooks, and field-enablement content.
- Advise on financial services use cases including fraud detection, credit risk modeling, regulatory reporting, customer 360, lending, payments, risk, compliance, and data lineage.
- Provide structured customer and industry feedback to Snowflake product teams to help shape the product roadmap.
- Engage financial services ecosystem partners to develop best practices, architectures, integrations, and demos.
- Drive technical thought leadership through blogs, talks, webinars, conferences, RFP support, and industry marketing activities.
- Support strategic stakeholder alignment and maintain consistency of vision across business units and geographies.
- Travel to customer sites, industry events, and related events as required.
- Follow Snowflake confidentiality and security standards for handling sensitive customer data.
Requirements
- 10+ years of architecture experience building, consulting to, or implementing technology for core banking or financial services organizations.
- Expertise in financial services data topics and the major core-banking functional areas, including lending, payments, treasury, risk and compliance, and finance.
- Ability to consultatively understand customer challenges and develop right-fit architectures using current data and AI technologies.
- Broad experience with large-scale database or data warehouse technologies, ETL, analytics, and public cloud technologies.
- Understanding of data science and machine learning concepts and financial services applications such as credit scoring, fraud detection, and AML or transaction monitoring.
- Familiarity with core banking platforms, risk and compliance systems, actuarial tools, payment networks, CRMs, and third-party financial services data providers.
- Understanding of financial services regulatory and compliance frameworks including Basel III/IV, DORA, IFRS 9/17, Solvency II, BCBS 239, AML/KYC, NAIC, and state DOI reporting.
- Strong presentation and communication skills with technical, executive, operational, risk, business, engineering, architecture, and regulatory audiences.
- Experience working with senior executives and establishing credibility with senior leadership.
- Bachelor’s degree required; a master’s degree in computer science, engineering, mathematics, finance, actuarial science, or a related field, or equivalent experience, is preferred.
- Strong knowledge of SQL and Python with hands-on experience required; Java, Scala, or other programming languages are a plus.
- 3+ years of customer-facing architecture development experience with AWS, Azure, or GCP.
Benefits
- The role includes travel to customer sites, industry events, and related events as required.
- The posting directs United States applicants to Snowflake Careers for salary and benefits information.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.