Senior Engineer, Solutions Engineering - Remote

Snowflake; South Carolina; Teletrabalho; USD 220 000 - 288 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(k)

Health/Dental/Vision

Flexible PTO

Professional development budget

Resumo da oferta

Snowflake is seeking a Senior Solution Engineer in the United States to partner with sales and channel teams, understand customers' data challenges, and demonstrate how Snowflake enables real‑time analytics and AI-powered applications.

You will translate business problems into Snowflake data solutions, map current architectures, and deliver tailored proofs of concept while collaborating with Product and Engineering to influence the roadmap.

Qualificações

• 3–8 years of industry experience in data platforms, pre-sales or solutions architecture

Responsabilidades

• Present Snowflake's Data Cloud vision to technical and executive stakeholders
• Map customer data architectures and design a Snowflake-native path forward
• Build and deliver tailored demos and proofs of concept across Snowflake's data platform
• Guide customers on modern data architecture patterns and governance
• Translate business problems into concrete Snowflake data solutions
• Collaborate with Product and Field teams to feed customer patterns into roadmaps

Conhecimentos

SQL

Python

Pre-sales

Stakeholder communication

Formação académica

CS/DS/Engineering/Math degree

Master's in Data Science or Business Analytics (plus)

Ferramentas

dbt

Fivetran

Informatica

Spark

Kafka

Kinesis

Airflow

dbt Cloud

Tableau

Looker

Power BI

AWS

Azure

GCP

Descrição da oferta de emprego

To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes.

As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like.

Responsibilities

• Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers
• Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward
• Build and deliver tailored demos and proof of concepts across Snowflake's full data platform: data engineering (Snowpark, Dynamic Tables, Snowpipe), AI/ML (Cortex AI, ML model registry), and data sharing (Data Clean Rooms, Marketplace listings)
• Guide customers through modern data architecture patterns including Data Mesh, Data Lakehouse, real-time streaming pipelines, and unified governance frameworks
• Translate ambiguous business problems — churn prediction, supply chain visibility, financial consolidation, operational analytics — into concrete Snowflake data solutions
• Partner with Product Management, Engineering, and Field teams to feed customer data architecture patterns back into the product roadmap

Requirements

• 3–8 years of industry experience, in a pre-sales or solutions architecture role focused on data platforms
• ~ Deep hands-on expertise with SQL, Python, and cloud data warehouse / data lakehouse architectures; able to write working code in a customer session without hesitation
• ~ Broad experience across the modern data stack: ETL/ELT tools (dbt, Fivetran, Informatica, Spark), streaming platforms (Kafka, Kinesis), orchestration (Airflow, dbt Cloud), BI tools (Tableau, Looker, Power BI), and cloud infrastructure (AWS, Azure, GCP)
• ~ Proven ability to conduct deep data architecture discovery — understanding a customer's source systems, transformation layers, consumption patterns, and governance requirements — and connect those findings to a Snowflake reference architecture
• ~ Experience positioning AI and ML capabilities within a data platform context: feature stores, model training pipelines, LLM-powered applications, and AI governance
• ~ Strong intuition for data governance, quality, and compliance challenges (GDPR, CCPA, PCI) and how platform design decisions affect them
• ~ Ability to quantify the business value of a modern data architecture — cost reduction, time‑to‑insight, pipeline reliability, data product monetization
• ~ A demonstrated track record 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. A Master's in Data Science or Business Analytics is a plus
• ~ on large data platform programs is beneficial but not required

220,000 - $288,000 OTE (On Target Earnings = Base Salary + Commission/Quota)

~ Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.

Our Solution Engineers are customer-obsessed data practitioners. We love to learn, give and receive direct feedback, and are relentless about making our customers' data more accessible, reliable, and valuable. If you have strong opinions about data architecture and enjoy proving them with working code, you'll fit right in.

Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Today the Snowflake Data Cloud goes far beyond warehousing — it's where organizations build data pipelines, run ML workloads, share live data across the ecosystem, and power AI applications, all on a single governed platform. Our built-for-the-cloud architecture delivers the performance of a data warehouse, the flexibility of an data lake, and the elasticity of the cloud at a fraction of traditional costs.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.