Snowflake Architect

PETADATA; Milwaukee (WI); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions firm is seeking an experienced Snowflake Architect in Research Triangle Park, NC. The role involves designing, implementing, and managing Snowflake data warehousing solutions, ensuring performance optimization and data security compliance. Ideal candidates will have a minimum of 12 years of data architecture experience with specific expertise in Snowflake and relevant industry knowledge. Strong skills in SQL and data integration are essential. Competitive salary and opportunities for innovation await the right candidate.

Qualifications

• 12+ years of experience in data architecture and engineering, with at least 6+ years working with Snowflake.
• Data integration & migration experience is a must.
• Manufacturing, Oil & Gas industry experience is preferred.

Responsibilities

• Design and develop Snowflake data warehouse architectures.
• Integrate Snowflake with existing systems and data sources.
• Monitor and optimize Snowflake performance.

Skills

Expertise in Snowflake architecture

Data modeling

SQL proficiency

Problem-solving skills

Strong communication skills

Education

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

Tools

SQL

ETL/ELT tools (e.g., Informatica, Talend, dbt)

Cloud platforms (AWS, Azure, Google Cloud)

Job description

Position: Snowflake Architect

Location: Research Triangle Park, NC (Onsite Only)

Experience: 10+ years

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

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

• 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 of experience in data architecture and engineering, with at least 6+ years explicitly working with Snowflake.
• Must have data integration & 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 Certified Solutions Architect, Microsoft Azure Data Engineer, etc.).

Educational Qualification

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

Note

Candidates required to attend Phone/Video Call / In person interviews and after selection, should go through all background checks on Education and Experience.

Application

Please email your resume to: [e-mail]

After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps.