SAP Datasphere Architect

We are looking for Datasphere end to end implementation, BW to Datasphere migration, SAC reporting.

About Bristlecone:

Bristlecone is the industry’s largest pure-play supply chain service provider.

As the trusted partner for AI-first supply chain transformations, we specialize in empowering customers with tech-enabled solutions for planning, sourcing, and fulfillment. Through our consulting, platforms, and supply chain build and enablement expertise, we help Global 2000 organizations in the life sciences, retail, consumer goods, manufacturing, and high-tech industries drive visibility, resiliency, and efficiency across their supply chain.

Guided by a consulting-led approach, we serve as strategic partners to customers throughout their supply chain transformation journey. With comprehensive advisory and implementation capabilities, we offer high-value consulting spanning domains, processes, and change management, ensuring tailored solutions that drive meaningful outcomes for each customer.

Bristlecone is headquartered in San Jose, California, with locations across North America, Europe, and Asia. It is part of the Mahindra Group.

Learn more at

About the Role:

• Total 10+ years of experience in SAP Data & Analytics, covering SAP BW / BW on HANA / BW/4HANA, SAP Datasphere and SAP Analytics Cloud (SAC).
• Must have worked on at least 4-5 end to end implementation projects, including at least 1 end to end SAP Datasphere implementation and at least 1 end to end SAC reporting / dashboarding delivery.
• Strong expertise in designing enterprise-wide analytics architecture, data models, integration strategies and target-state analytics roadmaps.
• Must be able to lead business process / requirement gathering / solution architecture workshop sessions, and convert functional requirements into technical designs.
• Deep understanding of the analytics delivery lifecycle - from blueprinting and design through development, testing, deployment and post go-live support.

SAP Datasphere (core)

• Strong hands-on experience across Data Builder and Business Builder.
• Spaces, data products and space-level governance.
• Semantic modelling and analytical models.
• Data integration and replication frameworks - data flows, replication flows and task chains.
• BW Bridge and BW modernization initiatives.
• Implementation of data integration, data quality and data governance solutions using SAP Datasphere.
• Datasphere performance optimization, data load tuning and system troubleshooting.

SAP Analytics Cloud (core)

• Hands-on creation of SAC stories, dashboards and analytic applications - hierarchies, geo maps, linked analysis, calculated measures & dimensions, blending etc.
• Experience with SAC live and import connections on Datasphere and BW/4HANA, including connection setup and troubleshooting.
• SAC security, roles and authorization concepts, designed in line with Datasphere-level security.
• Story / model performance optimization and support for business adoption of dashboards.

Data foundation & integration

• Working knowledge of BW / BW/4HANA modelling objects - ADSOs, Composite Providers, Open ODS Views, Transformations, DTPs, Process Chains and Open Hub.
• SAP and non-SAP data integration using standard extractors, generic extractors, CDS-based extraction and the ODP framework.
• Must have strong HANA and SQL knowledge.
• Experience in SAP BW to BW/4HANA migration and SAP BW to SAP Datasphere modernization programs.

Leadership & delivery

• Strong problem-solving skills, self-directed, and capable of leading and mentoring a team.
• Ability to engage with business and IT stakeholders, understand complex reporting and analytics requirements and translate them into scalable solution designs.
• Excellent time-management skills and the ability to deliver results against aggressive timelines and at short notice.
• Should be flexible / willing to work across the delivery landscape, including and not limited to Agile application development, support and deployment.
• Good understanding of SAP modules like MM, SD, FI, PP and/or QM would be an added advantage.

Additional Experiences are plus:

• Deep ABAP technical skills - BW user-exits & customer enhancements, ABAP CDS, AMDP, performance tuning and analysis of ABAP logs / dumps.
• Knowledge of SAP Business Data Cloud (BDC), Datasphere strategy and cloud analytics transformations.
• SAC Planning experience (planning models, data actions, allocations).
• SAP Analysis for Office (AFO) and SAP BO reporting exposure.
• AI knowledge and experience.
• Presales experience.
• Experience conducting analytics landscape assessments, migration readiness assessments and roadmap definition exercises.