Senior Solution Engineer

Snowflake

. Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture and engineering, with a strong focus on Snowflake's Data Cloud solutions. Proficient in SQL, Python, and various data platforms, showcasing capabilities in AI/ML and data governance.

Highest-signal resume keywords

SQL ExpertisePython ProgrammingData Lakehouse ArchitectureAI/ML CapabilitiesData Governance Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DiscoveryETL/ELT ToolsStreaming PlatformsBI ToolsCloud Data Warehousing

Soft Skills

Communication SkillsProblem-Solving AbilityCollaboration Skills

Tools & Technologies

SnowparkDynamic TablesSnowpipeTableauLooker

Industry Keywords

Data GovernanceGDPRCCPAPCIData Mesh

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaKafkaPythonSnowflakeSparkSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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