Principle Data Architect

Job Details and Responsibilities

• Lead comprehensive SAP BW landscape analysis and remediation activities related to S/4HANA program impacts, including alignment with future-state BDC and Lakehouse architectures.
• Conduct detailed user activity and BW object usage analysis using ST03N, RSR\, RSZ\ logs, and metadata to inform modernization and migration decisions.
• Perform top-down and bottom-up BW object lineage analysis — from BEx Queries through InfoProviders to DataSources — at the field and transformation level.
• Identify, classify, and rationalize active, inactive, and redundant BW objects; contribute to disposition and modernization strategy across BW, Databricks, Datasphere, and BDC.
• Map BEx queries and BW reporting objects to downstream consumer systems (Power BI, SAC, Tableau) to establish end-to-end data lineage and reporting impact.
• Document OpenHub, external extractors, and integration flows; identify common InfoProviders and opportunities to transition workloads into Datasphere/BDC data products.
• Contribute to BW optimization, prioritization, and disposition recommendation reports, including pathways for migration into Datasphere and BDC semantic models.
• Deliver technical debt and data debt analysis to support BW cleanup, S/4 readiness, and future-state cloud data platform alignment.
• Support reporting and analytics requirements related to BW, Datasphere, and BDC metadata consumption.
• Participate in project kick-offs, scope alignment sessions, and stakeholder review workshops across business, IT, and data platform teams.
• Ensure all deliverables meet agreed-upon acceptance criteria, quality standards, and milestone timelines.
• Ability to understand and develop enterprise grade global system landscape architecture diagrams in line with business needs
• Work in a global environment with cross-country and cross-region teams, demonstrating highly collaborative and exceptional English communication skills.

Required Skills & Experience