SAP Datasphere Architect

Role- - SAP Datasphere Architect

Location- Remote or TX

JD- The Datasphere Architect defines the target architecture and data modelling standards for the SAP Datasphere platform. The role provides technical leadership across ingestion from S/4HANA, semantic modelling, security and downstream consumption in SAP Analytics Cloud, Snowflake and Tableau.

The Datasphere Architect defines the target architecture and data modelling standards for the SAP Datasphere platform. The role provides technical leadership across ingestion from S/4HANA, semantic modelling, security and downstream consumption in SAP Analytics Cloud, Snowflake and Tableau. LONGDESCRIPTION section. 2 of 6. Section Title: Key ResponsibilitiesKey Responsibilities • Design the end-to-end data architecture from S/4HANA (ODP/CDS, RFC, OData) through SAP Datasphere to downstream platforms. • Define spaces, layering (acquisition, harmonisation, consumption), naming conventions and data modelling standards. • Select and govern integration patterns: replication flows, remote tables, data flows, transformation flows and SLT where applicable. • Design performance, scalability, data volume and cost-optimisation strategies. • Define the connectivity model including Cloud Connector, Data Provisioning Agent and network/security requirements. • Review designs and code produced by consultants; mentor the team and resolve complex technical issues. • Partner with the security, reporting and functional leads to ensure consistent semantics and access control. LONGDESCRIPTION section. 3 of 6. Section Title: Skill RequirementsSkill Requirements Overall 15+ years experience • Deep hands-on expertise in SAP Datasphere (modelling, data builder, business builder, integration). • Strong knowledge of S/4HANA data extraction: ABAP CDS views, ODP framework, extractors and RFC/OData connectivity. • Knowledge of SAP Business Data Cloud, SAP BW/4HANA and HANA SQL, plus integration with Snowflake and ETL tools such as FME. • Data warehousing concepts: dimensional modelling, data governance, lineage and master data. • Strong architecture documentation and presentation skills.