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.