Data architect

Position is open for w2

Data architect ISIJP

Duration: 1 year

Onsite/Hybrid/Remote: Hybrid

Only Locals/Non locals can be submitted: Only Locals Sunnyvale, CA

Mode of interview: In-person/Zoom

No of rounds of interview: 2 to 3

Candidate must have exceptional knowledge in SAP supply chain management (Planning, logistics and manufacturing modules ) to convert the functional specs into technical specs and design a data warehouse model (snowflake).

Candidate must have exceptional knowledge in SAP supply chain management (Planning, logistics and manufacturing modules ) to convert the functional specs into technical specs and design a data warehouse model (snowflake).

Qualifications:

• Proven experience as Snowflake and SAP S4/ME architect with a strong track record of successful project implementations.
• In-depth knowledge of Snowflake and SAP S4/ME, 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 a solution architect (Snowflake and SAP S4/ME), you will play a crucial role in designing, implementing, and maintaining data and manufacturing data solutions for our organization. You will be responsible for ensuring seamless integration between Snowflake and SAP S4/ME, 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 Snowflake and SAP S4/ME to optimize manufacturing operations and data analytics.
• Integration: Develop and maintain robust integration between SAP S4/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 S4/ME and Snowflake integration and performance.
• Execute system upgrades and enhancements as needed.