Job Details and Responsibilities
Lemongrass Consulting is seeking an experienced Principal SAP Data Architect who is experienced in solutioning, building high performing data teams and self-driven thought leader. The architect will be responsible for Legacy BW analysis, Target Databricks and BDC data modeling, fitment assessments, and remediation planning, and must have deep expertise in BDC, BW metadata, Azure and GCP Lakehouse architecture, and reporting structures.
This role is highly analytical and spans both traditional BW landscapes and next-generation SAP data platforms. The ideal candidate will have strong functional knowledge of SAP BW/BW4 HANA combined with an understanding of SAP Datasphere and SAP Business Data Cloud (BDC) concepts — including Databricks, data products, semantic modeling, lineage, and cross-system integration.
The architect will play a key role in evaluating BW objects for S/4 compatibility, mapping data flows to Datasphere/BDC architectures, and supporting reporting landscape rationalization across SAP and cloud ecosystems. This includes analyzing data lineage, object lifecycle dependencies, and opportunities to transition legacy BW workloads into modern, cloud-based data models.
Key Responsibilities
Lead comprehensive SAP BW landscape analysis and remediation activities related to S/4 HANA program impacts, including alignment with future-state BDC and Lakehouse architectures.
Conduct detailed user activity and BW object usage analysis using ST03 N, 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 Info Providers to Data Sources — 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 Open Hub, external extractors, and integration flows; identify common Info Providers 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.
Qualifications
Required Skills & Experience
SAP BW & Data Architecture:
15+ years of hands-on experience with SAP BW (BW 7.x and/or BW/4 HANA).
Strong knowledge of BW object types: Info Cubes, DSOs, Multi Providers, Composite Providers, Info Objects, and Open Hub 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, ST03 N.
Experience with BW lineage analysis and object dependency tracing (Top-Down and Bottom-Up).
Strong understanding of ECC-to-BW data extraction patterns Data Source 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 Big Query, 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/4 HANA 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 Big Query, 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
Education
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
Equivalent professional experience considered.
This position may require domestic and international travel as needed to meet business and client requirements.
Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.
Lemongrass Consulting is an Equal Opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, religious creed, sex, gender, sexual orientation, gender identity, gender expression, age, genetic information, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
About Lemongrass
Lemongrass is a global SAP-focused Cloud services provider helping some of the world’s most recognized Enterprises modernize and transform their SAP environments. We combine deep technical expertise with automation, innovation, and AI to deliver meaningful business outcomes.
Our work spans SAP Cloud migrations, managed services, SAP Business Technology Platform (BTP), Business Data Cloud (BDC), and AI-enabled solutions. We help customers build clean core strategies, intelligent data foundations, and scalable Cloud operations across AWS, Microsoft Azure, Google Cloud Platform, and SAP Cloud ERP.
Founded in 2010, Lemongrass has grown into a trusted partner to SAP, AWS, Microsoft, and Google, earning top-tier partner designations along the way including SAP Gold Partner, Premier AWS Partner, Microsoft Gold Partner, and Google Cloud Partner. Our teams operate across the Americas, EMEA, and APAC, collaborating to solve complex challenges for global Enterprises.
At Lemongrass, you’ll work alongside Cloud architects, engineers, and innovators who are shaping the future of SAP in the Cloud—within a culture that values ownership, curiosity, collaboration, and continuous growth.