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# Inhouse SAP Analytics (Datasphere / BDC) Architect

- **Company:** Energize Recruitment
- **Location:** Frankfurt am Main, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** SAP Cloud, Adaptable Database Systems, Artificial Intelligence, Data Analysis, Microsoft Azure, Business Software, Cloud Computing, Data Architecture, Data Integration, Machine Learning, Microsoft Software, SAP (Applications), SAP Business Suiteing, SQL Databases, Data Analytics, SAP S/4HANA
- **Published:** September 12, 2026
- **Apply:** https://www.adzuna.de/details/5877899051

## About the Role

* 5+ years' experience in Data & Analytics / Data Architecture.
 * Strong experience with SAP Datasphere and/or SAP Business Data Cloud.
 * Knowledge of SAP Analytics Cloud, S/4HANA, BTP and/or Microsoft Azure.
 * Strong understanding of data modelling, data integration and SQL.
 * Experience working with enterprise-scale analytics environments.
 * Strong communication and stakeholder-management skills.
 * Fluent English; German is advantageous.

## Description

We are looking for an experienced Data & Analytics Architect to play a key role in the development of a global data and analytics platform.

This is a strategically important position where you will design and evolve a scalable, governed and AI-ready data architecture using modern SAP and Microsoft technologies.

You will help create the foundations for data-driven decision-making, intelligent automation, predictive analytics and innovative business applications, while working closely with both IT and business stakeholders.
Key Responsibilities

 * Design and evolve enterprise data architectures across SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP S/4HANA and Microsoft Azure.
 * Develop scalable data models, data products and analytical solutions.
 * Integrate SAP and non-SAP data sources into a unified analytics environment.
 * Establish the data foundations for AI, Machine Learning, Predictive Analytics and GenAI.
 * Define data architecture and governance standards.
 * Translate business requirements into effective technical solutions.
 * Provide architectural guidance to internal teams and external partners.


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