Lead the design and implementation of enterprise data architectures in SAP S/4HANA (ECC experience is a plus).
Architect and deploy cloud-based data solutions using GCP, AWS, or Microsoft Azure.
Design and implement data lakes and data warehouses to support analytics and reporting needs.
Ingest and integrate data from multiple sources using ETL/ELT tools such as FiveTran, Talend, or similar.
Utilize SAP Datasphere for data warehousing, federation, and virtualization.
Document architectural decisions, data flows, and integration patterns.
Ensure data security, compliance, and governance across all solutions.
Lead and mentor mixed teams of data engineers, fostering collaboration and technical excellence.
Collaborate with business stakeholders, SAP functional teams, and IT leadership to align data strategies with organizational goals.
Support testing, troubleshooting, and optimization of data solutions.
Job Description:
We are seeking a Senior Data Architect with broad experience in designing and implementing data architectures for SAP environments, especially S/4HANA (ECC experience is a plus). The ideal candidate will have a strong background in cloud-based data solutions (GCP, AWS, or Microsoft Azure), data lakes, and data warehouses. This role requires expertise in ingesting data from multiple sources using modern ETL/ELT tools (such as FiveTran, Talend, or similar) and leveraging SAP Datasphere capabilities for data warehousing, federation, and virtualization. The Data Architect Sr will lead mixed teams of data engineers, ensuring robust, scalable, and secure data solutions that meet business requirements.
Minimum 5 years of experience as a Data Architect, with a focus on SAP data architectures (S/4HANA required; ECC is a plus).
Proven experience designing architectures for cloud environments (GCP, AWS, or Microsoft Azure).
Hands-on experience with data lakes and data warehouses.
Experience ingesting data from diverse sources using ETL/ELT tools (FiveTran, Talend, or similar).
Proficiency with SAP Datasphere (data warehousing, federation, virtualization).
Demonstrated ability to lead and mentor mixed teams of data engineers.
Strong analytical, documentation, communication, and teamwork skills.
Valid VISA & Passport Required
English - advanced level