Solution Engineer – Data Engineering Specialist

Snowflake

Solution Engineer for Data Engineering providing technical leadership and client guidance at Snowflake. Focus on data architecture and cloud data design while presenting solutions.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $165,000 - $216,562 per yearWebsite

Tech Stack

Tools & technologies

ApacheCloudETLHadoopInformaticaKafkaMatillionPandasPySparkPythonSparkSQL

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
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…)
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 such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC)
Experience designing interoperable data lakehouse architectures
Strong architectural expertise in data engineering

Benefits

Comp & perks

Health Insurance
Retirement Plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringpre-salesSQLPythonPandasSparkHadoopETLdata integration

Soft Skills

presentation skillscommunicationcollaborationproblem-solvingcustomer discovery