2 days 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 and design Snowflake-native paths forward.
- Build and deliver tailored demonstrations and proofs of concept across data engineering, AI/ML, and data sharing capabilities.
- Guide customers through Data Mesh, Data Lakehouse, real-time streaming, and unified governance architectures.
- Translate business problems into concrete Snowflake data solutions and quantify expected business value.
- Collaborate with Product Management, Engineering, Field teams, sales teams, and channel partners to support sales cycles and inform the product roadmap.
Requirements
- 3–8 years of industry experience in pre-sales or solutions architecture focused on data platforms.
- Deep hands-on expertise with SQL, Python, cloud data warehouses, and data lakehouse architectures, including writing working code in customer sessions.
- Experience with dbt, Fivetran, Informatica, Spark, Kafka, Kinesis, Airflow, dbt Cloud, Tableau, Looker, Power BI, AWS, Azure, and GCP.
- Experience conducting data architecture discovery and connecting source systems, transformation layers, consumption patterns, and governance requirements to reference architectures.
- Experience positioning AI and ML capabilities, including feature stores, model training pipelines, LLM-powered applications, and AI governance.
- Strong understanding of data governance, quality, compliance, GDPR, CCPA, and PCI considerations.
- Ability to quantify the business value of modern data architectures, including cost reduction, time-to-insight, pipeline reliability, and data product monetization.
- 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.
- Experience with GSIs such as EY, Deloitte, Accenture, or Slalom is beneficial but not required; a master’s degree in Data Science or Business Analytics is a plus.
Benefits
- Competitive base salary, variable compensation, equity, 401(k), health, dental and vision coverage, flexible PTO, and a professional development budget.
- The position requires candidates to be located in North Carolina or South Carolina.
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.