SAP Datasphere Expert

Overview

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This role is for an SAP Datasphere Expert on a contract basis in Jacksonville, Florida. The position requires strong hands‑on experience with SAP Datasphere, ETL concepts, and SQL skills. Prior experience with Informatica and an understanding of Success Factors is preferred.

Location:

Jacksonville, Florida (Onsite)

Job Type: Contract

Category: IT

Last application date:
December 31, 2025

• Design and implement SAP Datasphere data models, views, and data flows to replace existing Informatica mappings.
• Integrate on‑prem source systems with SAP Datasphere and enable downstream consumption by Success Factors IMDB.
• Recreate and optimize ETL logic (joins, transformations, filters, derivations) currently built in Informatica.
• Ensure data structure and object parity between legacy Informatica outputs and SAP Datasphere (tables, fields, data types, keys).
• Perform data validation and reconciliation, including record counts and aggregates, key‑level comparisons, and business rule validation.
• Support parallel runs and obtain business sign‑off for migrated data.
• Collaborate with functional, business, and downstream teams to resolve data discrepancies.
• Prepare technical documentation for data models, mappings, and validation outcomes.

• Strong hands‑on experience with SAP Datasphere (data modeling, data flows, integrations).
• Solid understanding of ETL concepts and prior experience with Informatica or similar tools.
• Experience integrating on‑prem data sources with cloud data platforms.
• Strong SQL skills for data analysis, validation, and reconciliation.
• Experience validating structural and semantic data consistency during migrations.
• Understanding of Success Factors / HR data models (preferred).
• Ability to work independently in greenfield implementation and migration programs.
• Clear communication and ownership mindset for delivery and data quality.
• Design and implement data models in SAP Datasphere using Data Builder, Business Builder, CDS views, semantic models, and analytical models.
• Develop data pipelines: ingestion, transformation, replication flows, real‑time and batch data synchronization across SAP and non‑SAP systems.
• Integrate Datasphere with SAP S/4
  
  HANA, ECC, BW systems, and cloud/third‑party sources.
• Configure spaces, data access controls (DAC), and scoped roles to govern user permissions.
• Implement and monitor ETL/ELT processes, data quality checks, cleansing routines, and performance optimization.
• Collaborate with stakeholders, translate business requirements into technical solutions, and support analytics teams.
• Ensure data governance, security, and compliance; manage metadata and tenant administration tasks.
• Support reporting solutions, often in conjunction with SAP Analytics Cloud (SAC), Power BI, or Analysis for Office.