Senior Solution Engineer

Навыки

• Airflow
• AWS
• Azure
• BI-инструменты
• Решения на данных
• Data Governance
• Data Lake

О компании и продукте

• Our Solution Engineers are customer-obsessed data practitioners. We believe in rigorous discovery before prescribing solutions, we stay honest about what Snowflake can and can't do, and we hold ourselves accountable to outcomes — not just demos. 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 a 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.
• How do you want to make your impact?

Задачи

• 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
• IN THIS ROLE YOU WILL GET TO
• 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
• ON DAY ONE WE WILL EXPECT YOU TO HAVE

Требования

• 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
• 7–8 years of industry experience, with a minimum of 5 years 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
• Experience working with GSIs (EY, Deloitte, Accenture, Slalom, etc.) on large data platform programs is beneficial but not required

Будет плюсом

• A Master's in Data Science or Business Analytics is a plus

Условия

• $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

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