Job Title: Data architect

Duration: 1 year

Onsite/Hybrid/Remote: Hybrid

Only Locals/Non locals can be submitted: Only Locals

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).

Candidates 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.