Solution Engineer, Data Engineering Specialist, Bilingual (Spanish)

Snowflake

Data Engineering Specialist in Snowflake's Applied Field Engineering team providing technical leadership and collaboration with both technical and business executives. Managing customer relationships and sales cycles effectively throughout the sales process.

Posted 4/13/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $165,000 - $216,562 per yearWebsite

Tech Stack

Tools & technologies

CloudETLHadoopPandasPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Requirements

What you’ll need

10+ years of architecture and data engineering experience within the Enterprise Data space
5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
Native or native‑level Spanish and strong professional proficiency in English (spoken and written)
Outstanding presentation skills to both technical and executive audiences
Ability to connect a customer’s specific business problems and Snowflake’s solutions
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
Deep understanding of data integration services and tools for building ETL and ELT data pipelines
Familiarity with streaming technologies and real-time or near real time use cases
Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
Strong architectural expertise in data engineering
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringpre-sales experienceSQLPythonPandasSparkHadoopHiveETL

Soft Skills

presentation skillscommunication skillsproblem-solvingcollaborationcustomer discoveryinterpersonal skillsexecutive communicationtechnical communicationadaptabilityanalytical thinking

Certifications

Bachelor's DegreeMaster's Degree in computer scienceMaster's Degree in engineeringMaster's Degree in mathematics