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Snowflake Data Analytics Solution Architect

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Onsite

Snowflake Data Analytics Solution Architect

eTeam

Snowflake Data Analytics Solution Architect

Skills

SnowflakeData AnalysisSAP ERP

12 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$180,960 – $183,040 / year

Location:

Sunnyvale, CA, USA

Work mode:

Onsite

Published on:

10 October 2026

What they need


**Job Title: Snowflake Data Analytics Solution Architect

Location: Sunnyvale, CA (Hybrid)

Duration: 12 months**

Qualifications: Onsite 3 days a week

Min education: Min Bachelors

Min experience: 5+ years

Proven experience as an SAP ME and Snowflake architect with a strong track record of successful project implementations.

In-depth knowledge of SAP ME and Snowflake, including architecture, configuration, and best practices.

Proficiency in data modeling, ETL processes, and data warehousing concepts.Strong understanding of manufacturing processes and the ability to align technology solutions with business needs.

Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.Relevant certifications in SAP ME and Snowflake would be a plus.

Job Description: As an SAP ME and Snowflake architect, you will play a crucial role in designing, implementing, and maintaining data and manufacturing execution solutions for our organization.

You will be responsible for ensuring seamless integration between SAP ME and Snowflake, enabling efficient data management and analytics within our manufacturing processes.

Responsibilities: Solution Design: Collaborate with business stakeholders and technical teams to design integrated solutions that leverage SAP ME and Snowflake to optimize manufacturing operations and data analytics.Integration: Develop and maintain robust integration between SAP ME and Snowflake to ensure real-time data synchronization and accessibility for reporting and analytics.Data Modeling:

Design and implement data models within Snowflake to support efficient storage, retrieval, and analysis of manufacturing data.Documentation: Create comprehensive documentation for architecture, design, and processes to support ongoing maintenance and knowledge sharing.

Team Collaboration: Work closely with cross-functional teams, including data engineers, data analysts, and manufacturing experts, to align solutions with business goals.

Troubleshooting: Diagnose and resolve technical issues related to SAP ME and Snowflake integration and performance. execute system upgrades and enhancements as needed.

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