Senior Solution Engineer

🔥 1 minute ago

🌲 North Carolina, South Carolina – Remote

🌲 North Carolina – Remote 🌴 South Carolina – Remote

💵 $165k - $216.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

💼 Consulting

📣 Marketing

Consulting • Marketing • Cloud Computing

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.

📋 Description

• Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders • Lead hands-on technical discovery of customers' data architectures, including pipelines, warehouses, lakehouses, and governance gaps • Design Snowflake-native paths forward based on customer requirements • Build and deliver tailored demonstrations and proofs of concept across Snowflake's data platform • Showcase data engineering capabilities including Snowpark, Dynamic Tables, and Snowpipe • Showcase AI/ML capabilities including Cortex AI and the ML model registry • Showcase data-sharing capabilities including Data Clean Rooms and Marketplace listings • Guide customers through Data Mesh, Data Lakehouse, real-time streaming, and unified governance architectures • Translate business problems into concrete Snowflake data solutions • Work with sales teams and channel partners to navigate winning sales cycles • Partner with Product Management, Engineering, and Field teams to feed customer architecture patterns into the product roadmap

🎯 Requirements

• Must be based in North Carolina or South Carolina • 3–8 years of industry experience in a pre-sales or solutions architecture role focused on data platforms • Deep hands-on expertise with SQL and Python • Experience with cloud data warehouse and data lakehouse architectures • Experience with ETL/ELT tools including dbt, Fivetran, Informatica, and Spark • Experience with streaming platforms including Kafka and Kinesis • Experience with orchestration tools including Airflow and dbt Cloud • Experience with BI tools including Tableau, Looker, and Power BI • Experience with AWS, Azure, and GCP • Proven ability to conduct deep data architecture discovery and connect findings to a Snowflake reference architecture • Experience positioning AI and ML capabilities, 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 business value, including cost reduction, time-to-insight, pipeline reliability, and data product monetization • Demonstrated track record using AI code generation tools • University degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience • Experience working with GSIs on large data platform programs is beneficial but not required

🏖️ Benefits

• Competitive base salary • Variable compensation • Equity • 401(k) • Health, dental, and vision insurance • Flexible PTO • Professional development budget • Remote work arrangement