Snowflake Solutions Engineer at Victaulic in Northampton County, PA | Kablio

Role

Description

streamlit apps

data architecture

medallion model

udf development

rbac design

performance tuning

Establish security best practices including network policies, authentication methods, data encryption, and row or column level security and masking.
Create technical documentation, implementation guides, and best practice recommendations
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
Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
Implement and maintain medallion architecture (bronze-silver-gold) patterns for data quality and governance
Design data structures and access patterns optimized for ML model training and inference
Provide technical guidance on data access patterns and feature engineering for AI workloads
Establish cost optimization strategies for compute resources and storage across different workload patterns
Collaborate on implementing Snowflake Cortex AI features for business use cases
Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
Develop custom UDFs and stored procedures to support advanced application logic and business rules
Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
Create reusable application frameworks and component libraries for rapid solution delivery
Support AI and data science teams with Snowflake platform capabilities and best practices
Provide technical guidance on Snowflake capabilities, features, and roadmap to stakeholders
Design and implement role-based access control (RBAC) hierarchies following least privilege principles
Monitor and optimize application performance, query efficiency, and user experience
Lead architectural discussions on solution design patterns and technology selection
Implement object tagging strategies and tag-based policies for access control and governance
Participate in proof-of-concepts for AI capabilities and provide platform expertise

Requirements

snowflake

python

aws

terraform

sql

bachelor's

Minimum 3 years of experience in data engineering or solutions architecture roles
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
Certifications: Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification
Cloud Platforms: Knowledge of AWS, Azure, or Google Cloud data services and integration patterns
Proven track record of developing data applications or analytical solutions for business users
Python Programming: Strong Python skills for Snowpark development, data processing, and application logic
At least 2 years of recent hands-on experience with Snowflake platform including advanced features
Snowflake Expertise: Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
Backup and Recovery: Experience with disaster recovery planning, backup automation, and data retention strategies
AI/ML Collaboration: Experience supporting data science teams and understanding ML workflow requirements
DevOps and CI/CD: Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
Security and Governance: Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
DevOps Tools: Experience with GitHub Actions, Jenkins, GitLab CI/CD, or similar automation platforms
Application Development: Proficiency with Snowflake Streamlit for building interactive data applications
Development Frameworks: Experience with modern web frameworks, API development, and microservices
Infrastructure as Code: Proficiency with SnowDDL, Terraform, Schemachange, or other IaC tools for Snowflake
Data Architecture: Deep understanding of data warehousing concepts, data lake patterns, and modern lakehouse architectures
SQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization
Data Governance: Understanding of data cataloging, metadata management, and governance frameworks

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

this position is not eligible for visa sponsorship.

Security clearance

Information not given or found

Company

Overview

1919

Year Founded

The company has been operational since its establishment in 1919.

Revolutionized the pipe joining industry with the invention of the grooved mechanical pipe coupling.
Offers a wide range of products including pipe joining, fire protection, and fluid flow systems.
Serves industries ranging from energy and industrial sectors to infrastructure, water management, and construction.
Delivers innovative solutions for both small and large-scale projects across the globe.
Products are often used in complex, large-scale infrastructure projects like tunnels, bridges, and high-rise buildings.
Built a legacy of reliable, high-performance products that enhance the safety and efficiency of fluid systems worldwide.
Focuses on continuous innovation, remaining at the forefront of pipe joining technology to improve productivity for its clients.
A global leader in the field, providing engineered solutions for projects requiring exceptional durability and safety.

Culture + Values

Obey the laws and regulations that govern business activities.
Demonstrate ethical conduct in everything we do.
Treat employees fairly and use employment practices based on equal opportunity.
Provide safe and healthy working conditions and an atmosphere of open communication.
Deal fairly with suppliers, vendors and customers by treating them with respect and dignity.
Safeguard assets – both physical and intangible – and ensure they are used to further the organization's interests.
Collaboration & Teamwork
Problem Solving
Integrity
Global Mindset
Respect
Communication
Commitment
Development
Strategic Leadership

Environment + Sustainability

98% Recycled

Recycled Content

Products are crafted primarily from recycled materials, emphasizing sustainability.

85% CO₂ Reduction

CO₂ Efficiency

Electric induction furnaces significantly reduce carbon emissions compared to traditional methods.

Zero Carbon

Installation Emissions

Installation methods eliminate on-site emissions, supporting eco-friendly practices.

98% Scrap Utilization

Scrap Efficiency

Ductile iron production maximizes the use of high-quality steel scrap, reducing waste.

Pipe joining method enables circularity: infinitely reconfigurable installations, recyclable at end‑of‑life.
Manufacture close to markets served to reduce transportation emissions.
Supporting customer ESG objectives via leak‑reducing gaskets, fugitive emissions testing, installation safety.
Mechanical installation eliminates welding emissions, contributing to net‑zero in mining applications.

Inclusion & Diversity

Top Diversity Grade

Employee ratings

Employee ratings for 'Diversity' rank in the top 10% of similarly sized companies (Comparably).

Gender Rating A

Inclusive culture

Gender diversity receives the highest possible rating (A) on culture dimensions (Comparably).

85% employees

Employee engagement

85% of employees look forward to interacting with their team daily; net promoter score of 30 (59% promoters).

Create an equitable and inclusive environment where ideas are shared and opinions heard.

Articles

Careers at Victaulic

Victaulic Products

Victaulic Company History

Role

Description

streamlit apps

data architecture

medallion model

udf development

rbac design

performance tuning

Establish security best practices including network policies, authentication methods, data encryption, and row or column level security and masking.
Create technical documentation, implementation guides, and best practice recommendations
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
Design and implement modern data architecture solutions spanning data warehousing, data lakes, and lakehouse patterns
Evaluate and recommend architecture patterns for diverse use cases including structured analytics, semi-structured data processing, and AI/ML workloads
Implement and maintain medallion architecture (bronze-silver-gold) patterns for data quality and governance
Design data structures and access patterns optimized for ML model training and inference
Provide technical guidance on data access patterns and feature engineering for AI workloads
Establish cost optimization strategies for compute resources and storage across different workload patterns
Collaborate on implementing Snowflake Cortex AI features for business use cases
Establish best practices for data organization, storage optimization, and query performance across different data architecture patterns
Develop custom UDFs and stored procedures to support advanced application logic and business rules
Integrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities
Create reusable application frameworks and component libraries for rapid solution delivery
Support AI and data science teams with Snowflake platform capabilities and best practices
Provide technical guidance on Snowflake capabilities, features, and roadmap to stakeholders
Design and implement role-based access control (RBAC) hierarchies following least privilege principles
Monitor and optimize application performance, query efficiency, and user experience
Lead architectural discussions on solution design patterns and technology selection
Implement object tagging strategies and tag-based policies for access control and governance
Participate in proof-of-concepts for AI capabilities and provide platform expertise

Requirements

snowflake

python

aws

terraform

sql

bachelor's

Minimum 3 years of experience in data engineering or solutions architecture roles
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science or related technical field
7-10 years of experience in Data Architecture/Engineering and/or BI in a multi-dimensional environment
Certifications: Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification
Cloud Platforms: Knowledge of AWS, Azure, or Google Cloud data services and integration patterns
Proven track record of developing data applications or analytical solutions for business users
Python Programming: Strong Python skills for Snowpark development, data processing, and application logic
At least 2 years of recent hands-on experience with Snowflake platform including advanced features
Snowflake Expertise: Advanced knowledge of Snowflake architecture including data warehousing, data lakes, and emerging lakehouse features
Backup and Recovery: Experience with disaster recovery planning, backup automation, and data retention strategies
AI/ML Collaboration: Experience supporting data science teams and understanding ML workflow requirements
DevOps and CI/CD: Strong experience with GitHub, SnowDDL, automated deployment pipelines, and infrastructure as code
Security and Governance: Deep understanding of RBAC, row-level security, data masking, and Snowflake security best practices
DevOps Tools: Experience with GitHub Actions, Jenkins, GitLab CI/CD, or similar automation platforms
Application Development: Proficiency with Snowflake Streamlit for building interactive data applications
Development Frameworks: Experience with modern web frameworks, API development, and microservices
Infrastructure as Code: Proficiency with SnowDDL, Terraform, Schemachange, or other IaC tools for Snowflake
Data Architecture: Deep understanding of data warehousing concepts, data lake patterns, and modern lakehouse architectures
SQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization
Data Governance: Understanding of data cataloging, metadata management, and governance frameworks

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

this position is not eligible for visa sponsorship.

Security clearance

Information not given or found

Company

Overview

1919

Year Founded

The company has been operational since its establishment in 1919.

Revolutionized the pipe joining industry with the invention of the grooved mechanical pipe coupling.
Offers a wide range of products including pipe joining, fire protection, and fluid flow systems.
Serves industries ranging from energy and industrial sectors to infrastructure, water management, and construction.
Delivers innovative solutions for both small and large-scale projects across the globe.
Products are often used in complex, large-scale infrastructure projects like tunnels, bridges, and high-rise buildings.
Built a legacy of reliable, high-performance products that enhance the safety and efficiency of fluid systems worldwide.
Focuses on continuous innovation, remaining at the forefront of pipe joining technology to improve productivity for its clients.
A global leader in the field, providing engineered solutions for projects requiring exceptional durability and safety.

Culture + Values

Obey the laws and regulations that govern business activities.
Demonstrate ethical conduct in everything we do.
Treat employees fairly and use employment practices based on equal opportunity.
Provide safe and healthy working conditions and an atmosphere of open communication.
Deal fairly with suppliers, vendors and customers by treating them with respect and dignity.
Safeguard assets – both physical and intangible – and ensure they are used to further the organization's interests.
Collaboration & Teamwork
Problem Solving
Integrity
Global Mindset
Respect
Communication
Commitment
Development
Strategic Leadership

Environment + Sustainability

98% Recycled

Recycled Content

Products are crafted primarily from recycled materials, emphasizing sustainability.

85% CO₂ Reduction

CO₂ Efficiency

Electric induction furnaces significantly reduce carbon emissions compared to traditional methods.

Zero Carbon

Installation Emissions

Installation methods eliminate on-site emissions, supporting eco-friendly practices.

98% Scrap Utilization

Scrap Efficiency

Ductile iron production maximizes the use of high-quality steel scrap, reducing waste.

Pipe joining method enables circularity: infinitely reconfigurable installations, recyclable at end‑of‑life.
Manufacture close to markets served to reduce transportation emissions.
Supporting customer ESG objectives via leak‑reducing gaskets, fugitive emissions testing, installation safety.
Mechanical installation eliminates welding emissions, contributing to net‑zero in mining applications.

Inclusion & Diversity

Top Diversity Grade

Employee ratings

Employee ratings for 'Diversity' rank in the top 10% of similarly sized companies (Comparably).

Gender Rating A

Inclusive culture

Gender diversity receives the highest possible rating (A) on culture dimensions (Comparably).

85% employees

Employee engagement

85% of employees look forward to interacting with their team daily; net promoter score of 30 (59% promoters).

Create an equitable and inclusive environment where ideas are shared and opinions heard.

Articles

Careers at Victaulic

Victaulic Products

Victaulic Company History