Senior Specialist - Package Implementation

Job Profile: Data Technical Lead – SAP S/4HANA Data Migration Loaction- Bangalore Experience- 8- 12years Role Purpose- The Data Technical Lead is responsible for the technical delivery of all data migration components within an SAP S/4HANA programme. This role ensures the successful design, build, testing, and execution of SAP migration tools, ETL processes, interfaces, validations, and load automation. The Technical Lead works closely with the Data Lead, SAP Functional Leads, System Integrator (SI), Data Architects, and Business SMEs to ensure that the data migration solution is technically sound, scalable, and aligned to SAP best practices. Key Responsibilities 
 1. Technical Design & Architecture 
 Own the technical architecture for data migration across S/4HANA systems and source landscapes. 
 Define technical integration patterns using SAP BODS, SAP Migration Cockpit (LTMC/LTMOM), IDocs, BAPIs, OData APIs, and Direct Transfer. Ensure alignment with enterprise architecture, security policies, and data governance standards. Develop reusable mapping logic, transformation frameworks, and automation scripts. 2. ETL Build & Development Management Lead the technical development of ETL jobs and load pipelines using: SAP BODS (Data Services) LTMC / LTMOM SAP S/4 Direct Transfer SQL Script Python / powershell Ensure that migration jobs are fully version‑controlled, parameterised, and performant. 
 Oversee development of data validation, reconciliation, and audit reports. 
 3. Technical Leadership & Collaboration Work hand‑in‑hand with the Data Migration Lead to ensure strategy is technically feasible. Collaborate with SAP functional leads to define transformation rules and load sequencing. Provide technical leadership to offshore/onshore ETL developers and SI teams. Troubleshoot data load failures, mapping issues, and interface gaps. 4. Data Objects & Load Execution Oversee the technical preparation and loading of: 
 
 Master Data (Business Partner, Material, Asset, Vendor/Customer, GL, BOM, Routing, etc.) 
 Transactional Data (Open Items, Inventory, WIP, Purchase Orders, Sales Orders, etc.) 
 
 Build and run automated validation scripts to compare load results vs source datasets. 
 Optimise performance of migration runs, handling large-volume datasets. 5. Testing, Mock Loads & Cutover Design and execute technical plans for: Unit testing of ETL transformations System Integration Testing (SIT) User Acceptance Testing (UAT) for data Mock conversion cycles Volume and stress testing Lead technical execution during cutover, ensuring data loads run according to plan with minimal downtime. 6. Risk, Quality & Compliance Identify technical risks and recommend mitigation strategies. 
 Ensure all data migration components comply with: 
 
 SAP security & authorisation standards 
 Data privacy requirements (GDPR / data masking) 
 Internal IT controls and audit frameworks Maintain clear documentation for ETL processes and load execution. Key Deliverables- Technical Data Migration Design (ETL Architecture, Mapping Logic, Load Framework) Data Object Technical Specifications BODS Jobs, LTMOM Projects, and Transformation Scripts Reconciliation & Validation Reports Mock Load Technical Execution Reports Cutover Technical Runbooks Post‑Go‑Live Stabilisation Support Required Skills & Experience- 
 Technical Competencies 
 
 7–12+ years as a Technical Data Migration Lead/Developer, ideally on multiple S/4HANA programmes. 
 Deep hands‑on experience with: 
 
 SAP BODS / Data Services LTMC / LTMOM / Migration Cockpit SAP IDoc/BAPI interfaces SQL (advanced) Python, PowerShell, or similar scripting tools Strong understanding of SAP data structures and integration layers. Functional & Project Experience Familiarity with SAP modules: FI/CO, MM, SD, PP, PM, QM, Ariba, SuccessFactors (depending on scope). Experience working in Agile, SAP Activate, or hybrid delivery environments. Proven ability to lead technical teams and manage SI/vendor development streams. Soft Skills 
 
 Strong technical problem-solving and root-cause analysis capability. 
 Clear communication to both technical and non‑technical stakeholders. 
 Ability to work in fast-paced environments with strict deadlines. Qualifications Degree in Computer Science, Data Engineering, Information Systems, or similar. SAP certifications (BODS, S/4HANA, ABAP, MDG) preferred but not required. Cloud certifications (Azure/AWS/GCP) beneficial for hybrid landscapes.