
5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
🕒 June 1
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5001 - 10000 employees
Founded 2012
☁️ SaaS
Cloud Computing • Data Analytics • SaaS
Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.
• 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.
• competitive base salary • variable compensation • equity • comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget
Apply Now🕒 June 1
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