Principle Data Architect

Lemongrass Consulting; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Lemongrass Consulting seeks a Principal SAP Data Architect to lead complex landscape analysis and modernize SAP data platforms. You will drive S/4 readiness, map BW to cloud architectures, and enable reporting across SAP and Databricks environments.

You will guide data modeling, lineage, and cross-system integration while collaborating with global teams and ensuring delivery milestones. Strong English communication is essential.

Qualifications

• Experience with SAP BW/BW4HANA and SAP Datasphere concepts.
• Strong data modeling, lineage, and cross-system integration skills.
• Proven ability to lead data architecture initiatives in cloud environments.

Responsibilities

• Lead SAP BW landscape analysis and remediation activities for S/4 impacts.
• Map data flows to Datasphere/BDC architectures and support reporting rationalization.
• Analyze data lineage, object lifecycle, and transition legacy BW workloads to cloud models.
• Document pipelines, OpenHub flows, and integration with downstream tools (Power BI, SAC, Tableau).
• Collaborate with global cross-country teams and ensure timely, quality delivery.

Skills

SAP BW/BW4HANA

SAP Datasphere

BDC (Business Data Cloud)

Databricks

Data modeling

Data lineage

Azure

GCP Lakehouse

S/4HANA readiness

English communication

Tools

Databricks

Power BI

Tableau

SAC

SAP Datasphere

Job description

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/BW4HANA 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/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.