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As a Senior Software Engineer at Snowflake, you will design and build data ingestion and processing pipelines, develop distributed systems, and collaborate on software reliability and performance across various cloud platforms.

As a Senior Software Engineer, you'll drive initiatives across product areas, collaborate with cross-functional teams, deliver features, and contribute to product vision while ensuring scalability and performance.

Design and implement identity and access management and AI security capabilities, build scalable authorization frameworks, integrate modern authentication protocols and IdPs, enable secure data sharing and external application access, lead large projects, and drive high-quality code and design reviews.

Lead product strategy and roadmap for Snowflake Interactive Analytics, partnering with customers and engineering to deliver high-concurrency, low-latency analytics for AI agents, BI, and real-time apps. Drive go-to-market, customer advocacy, and use AI tools to prototype and iterate.

Lead product strategy and roadmap for Snowflake's identity and access management platform. Design IAM features for AI agents and machine identities, simplify admin and end-user auth/authorization, partner with engineering and customers, mentor PMs, and drive global, hyperscale infrastructure from concept to enterprise deployment.

Lead pre-sales technical engagement: present Snowflake to executives and technical audiences, run demos and POCs, map customer architectures to Snowflake data architecture, collaborate across product and engineering, and close large enterprise deals.

Lead pre-sales engagements for enterprise customers: present Snowflake to executives and technical teams, deliver demos and POCs, design implementations, perform deep architectural discovery, position Snowflake against competitors, and collaborate with product, engineering, and marketing to close large deals.

Lead strategy and execution for Snowflake Zero-Copy Integrations: define product architecture, partner roadmaps, partner and field motions, governance and semantic fidelity, commercial models, and customer experience to enable governed, zero-copy access to application data for analytics, AI, and workflows.