SAP S4 Data Architect

SAP S4 Data Architect

Location: Charlotte, NC/Remote

Type: Fulltime

Job Description:

Responsibilities:

• Gathering requirements, analyzing data, developing and maintaining reports and dashboards, and ensuring data accuracy and integrity through ETL processes.

• Requires strong analytical, communication, and technical skills in areas like SAP, SQL, data visualization tools, and ETL platforms.

• Must have experience in any ETL tool and one reporting tool to understand the business requirements and should also work on the solutioning and development as well.

• Identify the gaps in requirements and highlight and interact with business users and developers.

• Define industrialized data migration strategies, mapping and conversion rules

• Acting as a liaison between business users and functional teams to translate data needs into requirements for ETL (extract, transform, load) processes and reporting solutions

• Understanding of the specific industry or business processes (e.g., finance, insurance) to help develop relevant analytics solutions

• Data validation and quality: Ensure the accuracy, completeness, and stability of data by validating, monitoring, and troubleshooting ETL jobs and reports.

• Liaison and communication: Act as the bridge between business teams and IT/data teams, ensuring clear communication and alignment throughout the project lifecycle.

• Design, develop and execute scripts or programs for data extraction and loading into SAP S4 HANA.

Requirements:

• Bachelor’s degree in Information Technology, Computer Science or other relevant fields.

• Total 10+ years of IT experience with including 3+ years of S4 HANA ETL solutioning experience for a minimum of 3 deployments.

• Knowledge of SAP data structures and data models and also proficiency in SAP S/4 HANA implementation methodologies, configuration and customization.

• Should have knowledge/experience in any ETL tool and 1 reporting tool.

• Strong written and verbal communication to effectively document findings and present complex information to both technical and non-technical audiences.

• Understanding of the specific industry or business processes (e.g., finance, insurance) to help develop relevant analytics solutions.

• Problem-solving: Ability to troubleshoot issues, identify inefficiencies, and propose effective solutions.