SAP BW & Data Architecture:
- 15+ years of hands-on experience with SAP BW (BW 7.x and/or BW/4HANA).
- Strong knowledge of BW object types: InfoCubes, DSOs, MultiProviders, CompositeProviders, InfoObjects, and OpenHub Destinations.
- Deep experience with BEx Query Designer, Analysis for Office (AFO), and BW metadata analysis.
- Proficiency with BW T-codes: RSA1, RSA2, RSPC, RSISET, SE16, DB02, ST03N.
- Experience with BW lineage analysis and object dependency tracing (Top-Down and Bottom-Up).
- Strong understanding of ECC-to-BW data extraction patterns DataSource field mapping, S/4 Hana to BDC extraction and mapping.
- Experience working with SAP Analytics Cloud (SAC) dashboards — configuration and customization.
- Ability to read and interpret ABAP transformation code at a functional level (ABAP development not required).
- Knowledge of BW landscape rationalization, decommissioning principles, and usage-based classification.
Databricks, Lakehouse & Cloud Platforms:
- Strong knowledge of Databricks and Lakehouse architecture (Azure and GCP).
- Hands-on experience with Databricks Delta Lake, Unity Catalog, and Medallion Architecture patterns.
- Experience with cloud data engineering pipelines including ETL/ELT design and orchestration.
- Familiarity with Azure Data Lake, Azure Data Factory, GCP BigQuery, and related cloud services.
- Understanding of SAP Datasphere and SAP Business Data Cloud (BDC) concepts: data products, semantic modeling, lineage, and cross-system integration.
- Knowledge of Foundation Services and data governance frameworks within BDC/Datasphere.
Soft Skills & Delivery:
- Strong documentation skills; ability to produce client-ready analytical reports and recommendations.
- Exceptional communication skills in English; experience working in global, cross-region teams.
- Strong stakeholder management and ability to present complex data architecture findings to non-technical audiences.
Preferred Qualifications
- Experience with BW/4HANA migration or formal assessment projects.
- Deep hands-on knowledge of SAP Datasphere or BDC (Business Data Cloud).
- Familiarity with Power BI or Tableau from a BW data consumer perspective.
- Experience with SAP RISE or cloud-hosted BW environments.
- Prior experience in multi-region SAP BW engagements (MEU / AMEA / Global).
- Knowledge of cloud data platforms beyond Databricks: Snowflake, GCP BigQuery, etc.
- Prior consulting experience in a system integrator or Big 4 environment.
Certifications (Valued)
- SAP Certified – Data Architect – SAP Business Data Cloud
- Databricks Certified Data Engineer Associate / Professional
- Microsoft Azure Data Engineer Associate (DP-203)
- Google Professional Data Engineer
- SAP Certified Technology Associate – SAP HANA
Pay: $87,635.47-$192,110.32 per year
Work Location: Remote
