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Snowflake Architect

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: PETADATA
Full Time, Part Time position
Listed on 2026-01-26
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Position:
Snowflake Architect

Location:

Research Triangle Park, NC, Onsite Only

Experience:

10+ years

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

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

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.
  • Architectural Design
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 Snow Pro 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.

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

Note

Candidates are required to attend Phone/Video Call / In person interviews. After selection, there will be background checks on Education and Experience.

Please email your resume to:

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

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