SAP S4 Data Architect
Remote / Charlotte, NC
Full time
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.
Key Responsibilities:
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.
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