As an SAP Datasphere SME, you will be responsible for designing, implementing, and governing enterprise data solutions that enable trusted, business-ready data across the organisation's marketing, sales, customer, and analytics landscape. Working within a complex ecosystem comprising SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, SAP C4C, Azure Data Lake, Databricks, and enterprise reporting platforms, you will ensure that data is integrated, modelled, governed, and made available to support strategic business decision-making.
You will work closely with business stakeholders, data architects, integration teams, analytics specialists, and platform owners to develop scalable data models, optimise data flows, and establish best practices for enterprise data management. This role provides the opportunity to shape the organisation's data architecture while enabling advanced analytics, customer intelligence, reporting, and data-driven business transformation initiatives.
Key Responsibilities of the Role
- Design, develop, and maintain SAP Datasphere data models, semantic layers, business entities, and virtualised data products to support enterprise reporting and analytics requirements.
- Define and implement data integration solutions between SAP Datasphere and source systems including SAP C4C, Salesforce Data Cloud, SAP Analytics Cloud, Azure Data Lake, Databricks, and other enterprise applications.
- Establish and maintain data governance, data quality, metadata management, lineage, and business data definitions across the analytics ecosystem.
- Develop and optimise data pipelines, transformations, and federated access models to deliver scalable, high-performance analytical solutions.
- Collaborate with business stakeholders, architects, and reporting teams to translate business requirements into reusable and governed enterprise data assets.
- Support platform administration, performance tuning, release management, testing, and operational support activities within the SAP Datasphere environment.
