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Snowflake Solutions Engineer

Victaulic

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Location:
United States , Easton

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking an innovative Snowflake Solutions Engineer to join our growing IT team and lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions. This role will focus on leveraging Snowflake's modern platform capabilities including Streamlit applications, Cortex AI services, and emerging technologies to deliver business value through cutting-edge data solutions. The ideal candidate will have deep expertise in Snowflake's ecosystem, data architecture patterns including data warehousing, data lakes, and open lakehouse architectures, and experience building user-facing data applications.

Job Responsibility:

  • Snowflake Native Application Development (30%): Design and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows that enable business users to interact with data through intuitive interfaces
  • 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
  • Data Architecture and Modern Platform Design (30%): Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
  • Implement and maintain medallion architecture (bronze-silver-gold) patterns 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
  • AI Support and Advanced Analytics Collaboration (15%): 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
  • Participate in proof-of-concepts for AI capabilities and provide platform expertise
  • Security, Governance, and Technical Leadership (15%): Design and implement role-based access control (RBAC) hierarchies following least privilege principles
  • Establish security best practices including network policies, authentication methods, data encryption, and row or column level security and masking
  • Implement object tagging strategies and tag-based policies for access control and governance
  • Monitor and optimize application performance, query efficiency, and user experience
  • Establish cost optimization strategies for compute resources and storage across different workload patterns
  • Provide technical guidance on Snowflake capabilities, features, and roadmap to stakeholders
  • Lead architectural discussions on solution design patterns and technology selection
  • Create technical documentation, implementation guides, and best practice recommendations

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
  • Snowflake Expertise: Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
  • Security and Governance: Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
  • DevOps and CI/CD: Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
  • Application Development: Proficiency with Snowflake Streamlit for building interactive data applications
  • SQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization
  • Python Programming: Strong Python skills for Snowpark development, data processing, and application logic
  • Data Architecture: Deep understanding of data warehousing concepts, data lake patterns, and modern lakehouse architectures
  • Backup and Recovery: Experience with disaster recovery planning, backup automation, and data retention strategies

Nice to have:

  • Certifications: Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification
  • AI/ML Collaboration: Experience supporting data science teams and understanding ML workflow requirements
  • Development Frameworks: Experience with modern web frameworks, API development, and microservices
  • Cloud Platforms: Knowledge of AWS, Azure, or Google Cloud data services and integration patterns
  • Data Governance: Understanding of data cataloging, metadata management, and governance frameworks
  • DevOps Tools: Experience with GitHub Actions, Jenkins, GitLab CI/CD, or similar automation platforms
  • Infrastructure as Code: Proficiency with SnowDDL, Terraform, Schemachange, or other IaC tools for Snowflake

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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