SAP BW4 Archiving Architect
Can be Remote – Juno Beach, FL Preferred
4 MOnths
Job Description
SAP BW/4HANA Data Tiering Optimization Architect
Role Summary
We are seeking an experienced SAP BW/4HANA Data Tiering Optimization Architect to lead the architecture, design, and implementation of a Hot, Warm, and Cold data-management strategy for a large-scale BW/4HANA environment. The architect will assess existing data volumes and usage patterns, identify DTO-eligible Advanced DataStore Objects, define partitioning and retention rules, configure data movement across storage tiers, and ensure that reporting continues through the existing BW semantic layer after tiering.
Key Responsibilities
- Design the end-to-end SAP BW/4HANA Data Tiering Optimization architecture.
- Conduct workshops with business stakeholders to define retention criteria for Hot, Warm, and Cold data
- Lead project and work with business stakeholders, Basis (infrastructure) team, development team, reporting team to ensure successful implementation of repeatable archiving strategy.
- Lead as a project manager to ensure the overall success of BW/4 archiving program.
- Assess aDSOs, data volumes, data growth, partition structures, load patterns, process chains, retention requirements, and reporting usage.
- Identify and prioritize BW/4HANA objects suitable for DTO implementation.
- Define the enterprise data-temperature strategy:
- Hot: Active and frequently accessed data in SAP HANA in-memory storage.
- Warm: Less frequently accessed data using SAP HANA Native Storage Extension or Extension Node.
- Cold: Historical data using a supported external cold-storage platform, such as SAP IQ or SAP HANA Cloud data lake relational engine.
- Define partitioning strategies using appropriate time characteristics, such as fiscal period, calendar period, posting date, or document date.
- Configure DTO properties, data-temperature settings, storage connections, and movement rules.
- Design the lifecycle for moving eligible partitions from Hot to Warm to Cold storage, including retention expiry and controlled deletion.
- Integrate DTO processes with existing BW data loads, activation processes, housekeeping activities, and process chains.
- Lead a pilot implementation for a representative aDSO before production-scale rollout.
- Establish data reconciliation, exception handling, rollback, monitoring, and operational support procedures.
- Validate reporting across Hot, Warm, and Cold partitions using BW Queries, CompositeProviders, SAP Analytics Cloud, and Analysis for Client Office.
- Conduct regression and performance testing for current-period and historical reporting.
- Coordinate with SAP Basis, HANA, infrastructure, security, reporting, compliance, and business teams.
- Produce implementation documentation, production runbooks, risks, dependencies, and mitigation plans.
Required Skills and Experience
- Strong hands-on experience with SAP BW/4HANA architecture, implementation, and operations.
- Deep knowledge of Data Tiering Optimization, aDSOs, partitioning, CompositeProviders, BW Queries, and process chains.
- Experience designing and implementing Hot, Warm, and Cold data architectures.
- Working knowledge of SAP HANA in-memory storage, Native Storage Extension, Extension Node, SAP IQ, or SAP HANA Cloud data lake relational engine.
- Understanding of BW data lifecycle management, retention, archiving, housekeeping, and deletion processes.
- Experience with SAP Analytics Cloud and Analysis for Client Office integration with BW/4HANA.
- Ability to evaluate data volumes, query patterns, storage consumption, system performance, and infrastructure capacity.
- Experience performing data reconciliation, reporting regression testing, performance benchmarking, and production cutover.
- Strong architecture documentation, stakeholder communication, and technical leadership skills.
Key Deliverables
- DTO assessment and candidate aDSO inventory
- Hot, Warm, and Cold classification matrix
- Target DTO architecture and storage design
- aDSO partitioning and retention strategy
- DTO configuration and technical design
- Pilot implementation and test plan
- Data reconciliation and reporting regression framework
- Migration wave and production cutover plan
- Performance benchmark report
- Monitoring, support, and operational runbook
- Risks, dependencies, and mitigation plan
Preferred Qualifications
- Experience delivering large-scale SAP BW/4HANA data-volume management, archiving, or HANA memory-optimization programs.
- Experience migrating SAP BW on HANA environments to BW/4HANA.
- SAP certification or equivalent delivery experience in SAP BW/4HANA and SAP HANA.
- Experience working in complex enterprise environments with formal retention, compliance, audit, and historical-reporting requirements.