Diageo
Sr Manager - Data Integration (S4 Hana)
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
25 September 2026
What they need
Job Summary
Job Title Sr. Manager - Data Integration (S4Hana Azure Data Lake)
Location Bangalore HO / Hybrid
Reporting To Head of Data and Analytics
Role Purpose
We are seeking an experienced Manager to lead the design, implementation, and transition of data extraction and replication processes from SAP S/4HANA to Azure Data Lake as part of our enterprise S/4HANA transformation program.
Key Responsibilities
S/4HANA Data Extraction Replication
Lead the design and implementation of data extraction strategies from SAP S/4HANA into Azure Data Lake.
Assess existing SAP ECC/BW extractors and define migration and replacement strategies for S/4HANA.
Design and manage extraction mechanisms including:
- SAP CDS Views
- ODP (Operational Data Provisioning)
- SAP Extractors
- SLT (SAP Landscape Transformation)
- SAP Datasphere integrations (where applicable)
- SAP Data Intelligence/Data Services
Define approaches for real-time, near real-time, and batch data replication.
Azure Data Lake Integration
Manage end-to-end data movement from S/4HANA into Azure Data Lake.
Collaborate with Azure Data Engineering teams on:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Databricks
- Event-driven architectures
- Delta Lake frameworks
Ensure scalable, performant, and secure data ingestion pipelines.
Data Model Table Transition Management
Analyze impacts of S/4HANA simplification on source tables and data structures.
Identify changes between ECC and S/4HANA data models, including:
- Universal Journal (ACDOCA)
- Material Ledger
- Business Partner Model
- Inventory Management changes
- Procurement and Sales table changes
Define source-to-target mapping and transformation logic.
Govern transition of legacy tables and custom extractors to S/4HANA-compatible structures.
Data Governance Quality
Establish controls to ensure data completeness, accuracy, and reconciliation between SAP and Azure environments.
Define data validation, monitoring, and exception handling processes.
Support data lineage, metadata management, and audit requirements.
Partner with Data Governance teams to ensure compliance with enterprise standards.
Stakeholder Vendor Management
Work closely with:
- SAP Functional Teams
- SAP Basis Teams
- Data Analytics Teams
- Azure Engineering Teams
- System Integrators
- Business Reporting Teams
Manage delivery from implementation partners and third-party vendors.
Drive issue resolution and decision-making during migration and cutover phases.
Program Delivery
Support planning and execution of:
- Data migration activities
- Testing cycles
- Mock conversions
- Dress rehearsals
- Cutover activities
Identify risks and dependencies related to data integration and reporting continuity.
Develop transition plans from legacy extraction frameworks to S/4HANA-based architecture.
Required Qualifications
Bachelors degree in Computer Science, Information Systems, Engineering, or related discipline.
8-12+ years of experience in SAP Data Analytics environments.
Minimum 3-5 years of experience in SAP S/4HANA transformation programs.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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