SAP Datasphere SME: Enterprise Data Architect for Analytics

Sogeti; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

Sogeti is seeking an SAP Datasphere SME to design, implement, and govern enterprise data solutions across a broad analytics landscape including SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, and Azure Databricks. You will craft scalable data models, ensure data quality, and enable business-ready data for decision making.

You'llCollaborate with data architects, integration teams, and stakeholders to translate requirements into governed data assets and robust data flows.

Qualifications

• Experience designing and governing enterprise data solutions across marketing, sales, customer, and analytics data landscapes.
• Ability to model, federate, and govern data across SAP Datasphere and connected platforms.
• Strong collaboration with stakeholders to translate requirements into scalable data products.

Responsibilities

• Design SAP Datasphere data models, semantic layers, and virtualised data products.
• Implement data integration between SAP Datasphere and SAP C4C, Salesforce Data Cloud, and analytics platforms.
• Establish data governance, metadata management, and data quality across analytics ecosystem.
• Develop scalable data pipelines and transformations for high-performance analytics.
• Collaborate with architects, analysts, and platform owners to deliver governed data assets.
• Support platform administration, performance tuning, and release management.

Skills

SAP Datasphere modelling

Data governance

Data integration

Analytics ecosystem knowledge

Tools

SAP Analytics Cloud

Salesforce Data Cloud

Azure Data Lake

Databricks

Job description

Sogeti is seeking an SAP Datasphere SME to design, implement, and govern enterprise data solutions across a broad analytics landscape including SAP Datasphere, SAP Analytics Cloud, Salesforce Data Cloud, and Azure Databricks. You will craft scalable data models, ensure data quality, and enable business-ready data for decision making.

You'llCollaborate with data architects, integration teams, and stakeholders to translate requirements into governed data assets and robust data flows.