Senior Solution Engineer

Responsibilities

• Own the end-to-end technical relationship for a single strategic Global Account in financial services
• Build and deliver compelling demonstrations, solution architectures, and executive presentations
• Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, and AI/ML workloads
• Act as a subject matter expert on financial services data architecture
• Partner closely with the Account Executive to co-develop joint success plans
• Serve as the primary internal advocate for the account across Product, Professional Services, and Engineering
• Mentor and support junior Solution Engineers on the team

Requirements

• 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering
• Significant exposure to financial services customers
• Deep understanding of FSI data use cases including risk management and regulatory reporting
• Strong hands-on expertise with cloud data platforms
• Proficiency in SQL, Python, and data engineering tools (dbt, Spark, Kafka, or equivalent)
• Excellent executive communication skills for engaging with CDOs, CTOs, and CIOs
• Track record of leading complex technical evaluations and winning competitive PoCs
• Experience using AI and LLM-based tools in technical workflows

Preferred Qualifications

• Direct experience working within or selling to capital markets firms, tier-1 banks, or global asset managers
• Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps
• Familiarity with financial services cloud migration patterns and legacy platforms (Teradata, Oracle, Hadoop)
• Experience with real-time data architectures and streaming ingestion
• Background in data mesh, data product design, or enterprise data governance frameworks

About the Company

Snowflake is powering the era of the agentic enterprise, helping customers reinvent how they work through cloud-based data and AI capabilities.