SAP BDC & SAC Architect

Role Overview: You are a highly experienced Senior Data Architect / Lead Analytics Engineer with deep expertise in SAP Analytics Cloud (SAC), SAP Datasphere, and modern Business Data Cloud platforms. With over 10 years of experience in designing enterprise-scale data architectures, building analytics solutions, and delivering cloud-based data modernization projects, you will be responsible for driving data strategy, governance, and integration across cloud & SAP ecosystems. Key Responsibilities: - Design and deliver SAC stories, dashboards, and planning models. - Build advanced calculation views, models, KPIs, and analytical queries. - Integrate SAC with Datasphere, S4/HANA, BW/4HANA, and other SAP sources. - Implement SAC Planning, forecasting, predictive models. - Manage lifecycle: modeling - story design - deployment - optimization. - Architect and manage Datasphere layers (data builder, business builder, analytic models). - Build data pipelines, federated access, and harmonized semantic models. - Integrate Datasphere with S/4HANA, BW/4HANA, Snowflake, Databricks, Azure/AWS/GCP ecosystems. - Optimize performance, governance, security, and data lineage. - Architect and implement cloud data platforms, data lakes, and data mesh designs. - Develop ETL/ELT pipelines using Python, DBT, Delta Live Tables, or similar tools. - Build end-to-end data models, fact/dimension layers, and unified semantic layers. - Enable enterprise-wide analytics for Finance, Supply Chain, Sales, and Operations. - Build robust data ingestion pipelines using SQL, Python/PySpark, SAP Datasphere Data Flow, SAP BTP Integration Suite. - Integrate SAP + Non-SAP sources into the business data layer. - Define data quality, governance, cataloging, and lineage standards. - Design future-state enterprise data architecture. - Lead data modernization initiatives (SAP - Cloud). - Mentor junior engineers and analytics developers. - Collaborate with business SMEs to define KPIs and data products. Qualifications: - Bachelors or Masters in Computer Science, Information Systems, Data Engineering, or similar. - 10-15 years of total experience in data engineering & analytics. - 5+ years of hands-on experience with the SAP analytics ecosystem. - Cloud certifications (AWS/Azure/GCP/SAP BTP) preferred. Role Overview: You are a highly experienced Senior Data Architect / Lead Analytics Engineer with deep expertise in SAP Analytics Cloud (SAC), SAP Datasphere, and modern Business Data Cloud platforms. With over 10 years of experience in designing enterprise-scale data architectures, building analytics solutions, and delivering cloud-based data modernization projects, you will be responsible for driving data strategy, governance, and integration across cloud & SAP ecosystems. Key Responsibilities: - Design and deliver SAC stories, dashboards, and planning models. - Build advanced calculation views, models, KPIs, and analytical queries. - Integrate SAC with Datasphere, S4/HANA, BW/4HANA, and other SAP sources. - Implement SAC Planning, forecasting, predictive models. - Manage lifecycle: modeling - story design - deployment - optimization. - Architect and manage Datasphere layers (data builder, business builder, analytic models). - Build data pipelines, federated access, and harmonized semantic models. - Integrate Datasphere with S/4HANA, BW/4HANA, Snowflake, Databricks, Azure/AWS/GCP ecosystems. - Optimize performance, governance, security, and data lineage. - Architect and implement cloud data platforms, data lakes, and data mesh designs. - Develop ETL/ELT pipelines using Python, DBT, Delta Live Tables, or similar tools. - Build end-to-end data models, fact/dimension layers, and unified semantic layers. - Enable enterprise-wide analytics for Finance, Supply Chain, Sales, and Operations. - Build robust data ingestion pipelines using SQL, Python/PySpark, SAP Datasphere Data Flow, SAP BTP Integration Suite. - Integrate SAP + Non-SAP sources into the business data layer. - Define data quality, governance, cataloging, and lineage standards. - Design future-state enterprise data architecture. - Lead data modernization initiatives (SAP - Cloud). - Mentor junior engineers and analytics developers. - Collaborate with business SMEs to define KPIs and data products. Qualifications: - Bachelors or Masters in Computer Science, Information Systems, Data Engineering, or similar. - 10-15 years of total experience in data engineering & analytics. - 5+ years of hands-on experience with the SAP analytics ecosystem. - Cloud certifications (AWS/Azure/GCP/SAP BTP) preferred.