Snowflake Architect

PETADATA; Milwaukee (WI); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading data solutions company is seeking a highly experienced Snowflake Architect to design and manage data warehousing solutions. The ideal candidate should have extensive expertise in Snowflake architecture and data engineering with a minimum of 12 years in the field, including 6 years specifically focused on Snowflake. Responsibilities include designing scalable architectures, implementing solutions, ensuring data security, and collaborating with teams for optimal performance. This full-time position is essential for driving data strategies and solutions.

Qualifications

• 12+ years in data architecture and engineering, with 6+ years working with Snowflake.
• Experience in data integration and migration required.
• Strong problem-solving skills and ability to work under pressure.

Responsibilities

• Design and develop Snowflake data warehouse architectures.
• Lead the implementation of Snowflake solutions.
• Monitor and optimize Snowflake performance.

Skills

Snowflake architecture

Data engineering

SQL

Data security best practices

Education

Bachelor's / Master’s degree in Computer Science, Engineering, or related field

Tools

Informatica

Talend

dbt

AWS

Azure

Google Cloud

Job description

Overview

Position: Snowflake Architect

Location: Research Triangle Park, NC, Onsite Only

Experience: 10+ years

Job Type: Full-Time / Part-Time / Contract

Employer: PETADATA is currently looking to hire for the position of Snowflake Architect for one of their clients.

Position Summary

We are seeking a highly skilled and experienced Snowflake Architect to design, implement, and manage our Snowflake data warehousing solutions. The ideal candidate will possess deep expertise in Snowflake architecture, cloud data solutions, and data engineering. You will work closely with stakeholders to ensure our data infrastructure is optimized, secure, and scalable to meet our business needs.

Key Responsibilities

• Architectural Design: Design and develop Snowflake data warehouse architectures to support various business needs.
• Create scalable and efficient data models and workflows, including data ingestion, transformation, and storage.
• Develop best practices and standards for Snowflake architecture and ensure adherence across projects.
• Implementation and Integration: Lead the implementation of Snowflake solutions, including setting up Snowflake environments, schema design, and data pipelines.
• Integrate Snowflake with existing systems, data sources, and BI tools (e.g., Tableau, Power BI).
• Oversee the migration of data from on-premises or other cloud platforms to Snowflake.
• Performance Optimization: Monitor and optimize Snowflake performance, including query performance tuning, resource allocation, and cost management.
• Implement strategies for data partitioning, clustering, and caching to enhance performance.
• Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, CCPA).
• Implement and manage Snowflake's security features, such as access controls, encryption, and data masking.
• Collaboration and Leadership: Work closely with data engineers, data scientists, and business analysts to understand data requirements and deliver solutions that meet their needs.
• Provide technical leadership and mentorship to junior team members and other stakeholders.
• Facilitate discussions with stakeholders to gather requirements, present solutions, and obtain feedback.
• Documentation and Training: Create and maintain comprehensive documentation for Snowflake architecture, data models, and processes.
• Conduct training sessions and workshops to educate team members and end-users on Snowflake features and best practices.
• Troubleshooting and Support: Identify and resolve issues related to Snowflake environments, data quality, and performance.
• Provide ongoing support and maintenance for Snowflake systems, ensuring high availability and reliability.
• Innovation and Improvement: Stay up-to-date with Snowflake updates, new features, and industry trends.
• Evaluate and recommend new tools, technologies, and methodologies to enhance data architecture and operations.

Qualifications

• Experience: 12+ years in data architecture and engineering, with at least 6+ years explicitly working with Snowflake.
• Must have data integration and migration experience.
• Required data modularization and ERP systems experience.
• Manufacturing, Oil & Gas industry experience is preferred.
• Expertise in Snowflake architecture, including data modeling, ETL/ELT processes, and performance tuning.
• Proficiency with SQL, data warehousing concepts, and cloud data platforms (AWS, Azure, Google Cloud).
• Experience with data integration and ETL tools (e.g., Informatica, Talend, dbt).
• Strong understanding of data security and compliance best practices.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication skills, with the ability to present technical concepts to non-technical stakeholders.
• Certifications (Preferred): Snowflake SnowPro Certification. Cloud platform certifications (AWS Solutions Architect, Microsoft Azure Data Engineer, etc.).

Educational Qualification

Bachelor's / Master’s degree in Computer Science, Engineering, or a related field.

We offer a professional work environment and opportunities for growth in the information technology field.

Interview and Application

Candidates may be required to attend phone, video, or in-person interviews. After selection, background checks on education and experience may be conducted. Please email your resume to: [e-mail]. A member of our HR team will contact you with next steps.