2 months ago
Base Salary
$165k - $217k/yr
Responsibilities
- Present Snowflake’s Data Cloud vision to data engineering, analytics, data science, and executive stakeholders.
- Lead hands-on technical discovery of customer data architectures, pipelines, warehouses, lakehouses, and governance gaps.
- Design Snowflake-native reference architectures and guide customers through data mesh, lakehouse, streaming, and governance patterns.
- Build and deliver tailored demonstrations and proofs of concept across Snowflake data engineering, AI/ML, and data-sharing capabilities.
- Translate business challenges such as churn prediction, supply chain visibility, financial consolidation, and operational analytics into data solutions.
- Partner with sales, channel partners, Product Management, Engineering, and Field teams throughout sales cycles and product feedback processes.
- Quantify business value through measures such as cost reduction, time-to-insight, pipeline reliability, and data-product monetization.
Requirements
- 7–8 years of industry experience, including a minimum of 5 years in pre-sales or solutions architecture focused on data platforms.
- Hands-on expertise with SQL, Python, and cloud data warehouse or data lakehouse architectures, including writing working code in customer sessions.
- Experience with ETL/ELT, streaming, orchestration, business intelligence, and cloud infrastructure technologies across the modern data stack.
- Experience conducting data architecture discovery and connecting source systems, transformations, consumption patterns, and governance requirements to reference architectures.
- Experience positioning AI and ML capabilities in data-platform contexts, including feature stores, model-training pipelines, LLM-powered applications, and AI governance.
- Strong understanding of data governance, quality, and compliance challenges including GDPR, CCPA, and PCI.
- Ability to quantify the business value of modern data architectures.
- Demonstrated experience using AI code-generation tools to accelerate prototyping and proof-of-concept delivery.
- University degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
- Master’s degree in Data Science or Business Analytics is a plus.
- Experience working with global systems integrators such as EY, Deloitte, Accenture, or Slalom on large data-platform programs is beneficial but not required.
Benefits
- Equity and comprehensive health, dental, and vision benefits are offered.
- 401(k), flexible paid time off, and a professional development budget are provided.
- The compensation description includes variable compensation and commission/quota as part of OTE, but no explicit base-pay amount is stated.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.