
5001 - 10000 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.
🔥 2 hours ago
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5001 - 10000 employees
Founded 2012
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.
• Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries. • Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance). • Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives. • Partner with Account Executives to drive pipeline, accelerate deals, and close business. • Serve as the voice of the customer back to Product and Engineering teams. • Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators. • Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem.
• 8+ years of experience spanning multiple disciplines: data engineering, analytics, AI/ML, software development, cloud architecture, or technical consulting. • Demonstrated ability to design end-to-end data platforms (ingestion, transformation, orchestration, serving, governance). • Hands-on proficiency with SQL and at least one programming language (Python, Java, Scala). • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tooling (dbt, Spark, Kafka, Airflow, Terraform, or equivalent). • Proven track record of delivering technical solutions in a customer-facing, pre-sales, or consulting capacity. • Exceptional communication skills — can articulate deeply technical concepts to non-technical stakeholders and hold credibility with engineering teams simultaneously. • Experience engaging with executive leadership (CTO, CDO, CIO, CFO) on business strategy and technology roadmap discussions.
• Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget. • Medical, dental, vision, life, and disability insurance. • 401(k) retirement plan. • Flexible spending & health savings account. • At least 12 paid holidays. • Paid time off. • Parental leave. • Employee assistance program. • Other company benefits.
Apply Now🔥 2 hours ago
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