Victaulic

Snowflake Solutions Engineer

Victaulic

full-time

Posted on:

Location Type: Hybrid

Location: Easton • Maryland • New Jersey • United States

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Tech Stack

PythonSQL

About the role

  • 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

  • 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
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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