Snowflake Solutions Engineer

Victaulic

Snowflake Solutions Engineer designing and implementing advanced applications for data solutions. Collaborating with AI teams and focusing on Snowflake architecture and data management.

Posted 4/15/2026full-timeEaston • Maryland, New Jersey, Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows
Create reusable application frameworks and component libraries for rapid solution delivery
Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
Develop custom UDFs and stored procedures to support advanced application logic and business rules
Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
Implement and maintain medallion architecture for data quality and governance
Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
Support AI and data science teams with Snowflake platform capabilities and best practices
Collaborate on implementing Snowflake Cortex AI features for business use cases
Provide technical guidance on data access patterns and feature engineering for AI workloads
Design data structures and access patterns optimized for ML model training and inference
Monitor and optimize application performance, query efficiency, and user experience
Establish cost optimization strategies for compute resources and storage across different workload patterns

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
At least 2 years of recent hands-on experience with Snowflake platform including advanced features
Minimum 3 years of experience in data engineering or solutions architecture roles
7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
Proven track record of developing data applications or analytical solutions for business users
Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
Proficiency with Snowflake Streamlit for building interactive data applications
Expert-level SQL skills with experience in complex analytical queries and optimization
Strong Python skills for Snowpark development, data processing, and application logic
Deep understanding of data warehousing concepts, data lake patterns, and modern lakehouse architectures
Experience with disaster recovery planning, backup automation, and data retention strategies

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SnowflakeStreamlitUDFsstored proceduresdata architecturedata warehousingdata lakeslakehouseSQLPython

Soft Skills

collaborationtechnical guidanceproblem-solvingcommunicationbest practices establishment

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in Data EngineeringBachelor's degree in Data Science