Data Architect

Job Description Job Description Position Overview We are seeking a highly skilled Onsite Data Architect with 1015 years of experience in SAP and enterprise cloud data architecture. The ideal candidate will have strong expertise across SAP Datasphere, SAP BTP (Business Technology Platform), SAP HANA Cloud, SAP Analytics Cloud (SAC Analytics & Planning), SAP BDC (Business Data Cloud), and Google Cloud BigQuery, along with solid understanding of SAP BASIS and ABAP SDK toolkit-based integrations. The role focuses on designing, building, and optimizing data replication, transformation, and analytics architectures to enable unified enterprise reporting, predictive insights, and business planning across hybrid SAP and Cloud landscapes. Key Responsibilities Data Architecture & Integration - Architect end-to-end data flow frameworks integrating SAP S/4HANA, BRIM, Datasphere, and GCP BigQuery. - Design and implement replication flows and delta extraction frameworks leveraging SAP Datasphere and ABAP SDK toolkit. - Define robust data integration standards across SAP BTP HANA Cloud, SAC, and BigQuery environments. - Establish data lineage, metadata, and governance models ensuring compliance, performance, and scalability. SAP Datasphere & BTP Enablement - Lead SAP Datasphere workspace design, connection setup, and replication flow enablement. - Manage BTP subaccounts, service instances, and connectivity with on-premise and cloud SAP systems. - Integrate SAP BTP HANA Cloud for real-time data transformation, harmonization, and analytics orchestration. - Configure and manage SAP Cloud Connector for secure hybrid connectivity across systems. SAP HANA & Data Modeling - Develop HANA calculation views, CDS views, and SQLScript logic for complex data transformations. - Optimize data models for analytical performance, partitioning, and query execution in HANA Cloud and BigQuery. - Implement replication and virtualization patterns using HANA smart data access / smart data integration. - Collaborate with BASIS teams on memory optimization, query performance, and load balancing. Analytics, Planning & Predictive Intelligence - Lead end-to-end delivery of SAP Analytics Cloud (SAC) both Analytics and Planning workstreams. - Build interactive dashboards, planning models, and predictive simulations integrated with Datasphere and BigQuery datasets. - Develop predictive analysis scenarios combining SAC Predictive capabilities and BigQuery ML models. - Ensure KPIs, forecasts, and insights are aligned with executive and operational reporting needs. SAP Business Data Cloud (BDC) Integration - Architect and operationalize SAP BDC (Business Data Cloud) for cross-platform data management. - Integrate BDC with SAP Datasphere and BTP HANA Cloud for advanced data federation and analytics use cases. - Enable data lakehouse connectivity to support hybrid SAP + non-SAP datasets for analytics and AI consumption. - Define data pipelines and monitoring mechanisms ensuring end-to-end data consistency and traceability. Cloud Integration (GCP & BTP) - Design and implement hybrid data architecture between SAP BTP and Google Cloud BigQuery. - Work with GCP architects to optimize BigQuery schema design, cost control, and query performance. - Utilize ABAP SDK toolkit for SAP BigQuery delta replication scenarios. - Establish API filters, monitoring, and failover mechanisms to ensure resilience and scalability. Technical Leadership & Collaboration - Act as technical lead for all SAP-to-Cloud data initiatives across BTP, Datasphere, and BigQuery. - Collaborate closely with SAP BASIS, Security, and Application teams to ensure compliance and reliability. - Perform root cause analysis (RCA) for replication or data performance issues and implement proactive resolutions. - Mentor developers and analysts in modern SAP cloud data architectures, SAC analytics, and predictive modeling. Required Skills & Expertise Category Required Expertise SAP Core SAP S/4HANA, SAP BRIM, SAP HANA, SAP BASIS fundamentals Cloud & Integration SAP Datasphere, SAP BTP (Business Technology Platform), SAP BTP HANA Cloud Analytics & Planning SAP Analytics Cloud (SAC) Analytics, Planning, Predictive Analysis SAP BDC SAP Business Data Cloud (data federation, lakehouse integration) Data Engineering Replication Flows, ABAP SDK Toolkit, Cloud Connector Configuration Modeling CDS Views, HANA Calculation Views, SQLScript, View Optimization GCP Integration BigQuery schema design, performance tuning, data ingestion strategies Predictive Analytics SAC Predictive, BigQuery ML, BTP AI Core Monitoring & Governance Data lineage, quality, alerts, metadata management Tools Postman, Python, Cloud Monitoring, Grafana, SAP ALM, Cloud Connector Preferred Qualifications - Prior experience in Telecom / Finance / Billing (SAP BRIM) environments. - Proven success in SAP GCP integration leveraging Datasphere and BTP. - Exposure to S/4HANA upgrades, N+1 landscapes, and AI/ML integration in SAP data ecosystems. - SAP certifications in Datasphere, BTP HANA Cloud, or SAC Analytics & Planning. - Familiarity with SAP Joule AI and SAP Predictive Planning frameworks. Soft Skills - Strong analytical and problem-solving mindset. - Excellent communication and leadership skills. - Ability to manage multi-stakeholder engagements across SAP, Infra, and Cloud teams. - Experience working in Agile delivery models (Scrum/Kanban via Jira). Qualifications MCA BE Range Of Year Experience-Min Year 10 Range Of Year Experience-Max Year 15