Senior Solution Engineer

Snowflake

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

Posted 10/28/2026full-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 deep expertise in SQL, Python, and cloud data architectures, with a strong ability to translate business challenges into effective Snowflake data solutions. Proven experience in leading technical discovery, delivering tailored demonstrations, and navigating complex sales cycles in data platforms.

Highest-signal resume keywords

SQL ExpertisePython ProgrammingCloud Data Warehouse ArchitectureData Governance UnderstandingETL/ELT Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Architecture DiscoveryData GovernanceAI/ML CapabilitiesETL ToolsStreaming PlatformsBI ToolsCloud PlatformsAI Code Generation

Tools & Technologies

SnowflakeDbtFivetranInformaticaSparkKafkaKinesisAirflowTableauPower BI

Industry Keywords

Data MeshData LakehouseReal-Time StreamingUnified GovernanceGDPRCCPAPCIGSI Experience

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, pipelines, warehouses, lakehouses, and governance gaps
Design Snowflake-native paths forward for customers
Build and deliver tailored demonstrations and proof of concepts across Snowflake's data platform
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
Support enterprise Proofs of Concept and demonstrate measurable business outcomes
Partner with Product Management, Engineering, and Field teams to inform the product roadmap

Requirements

What you’ll need

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/lakehouse architectures
Broad 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 Snowflake reference architecture
Experience positioning AI/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 of modern data architecture
Demonstrated track record using AI code generation tools
University degree in computer science, data science, engineering, mathematics, or related field, or equivalent practical experience
Experience with GSIs is beneficial but not required

Benefits

Comp & perks

Variable compensation
Equity plan
401(k) retirement plan
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Flexible PTO
At least 12 paid holidays
Parental leave
Employee assistance program
Flexible spending account
Health savings account
Professional development budget
Other company benefits