SAP Datasphere Consultant- Jacksonville, FL

Cystems Logic Inc•Jacksonville, FL

10d

About The Position

We are looking for an experienced SAP Datasphere Integration & Migration Specialist to support a greenfield implementation of SAP Datasphere, replacing an existing on-prem Informatica-based data integration landscape. This role focuses on hands-on design, build, and operationalization of data ingestion, transformation, and export pipelines from on-prem source systems into SAP Datasphere with downstream integration into SAP SuccessFactors IMDB while ensuring data quality, validation, and business sign-off.

Requirements

Strong hands-on experience with SAP Datasphere including data modeling, data flows, and 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
Ability to work independently in greenfield implementation and migration programs
Clear communication and ownership mindset for delivery and data quality

Nice To Haves

Understanding of SuccessFactors or HR data models preferred

Responsibilities

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 SuccessFactors IMDB
Recreate and optimize ETL logic including joins, transformations, filters, and derivations currently built in Informatica
Ensure data structure and object parity between legacy Informatica outputs and SAP Datasphere including tables, fields, data types, and keys
Perform data validation and reconciliation, including: Record counts and aggregates Key-level comparisons 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
Design and implement data models in SAP Datasphere using Data Builder, Business Builder, CDS views, semantic models, and analytical models
Develop data pipelines including ingestion, transformation, replication flows, real-time and batch data synchronization across SAP and non-SAP systems
Integrate Datasphere with SAP S/4HANA, ECC, BW systems, and cloud or third-party sources
Configure spaces, data access controls (DAC), and scoped roles to govern user permissions
Implement and monitor ETL or 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 and manage metadata and tenant administration tasks
Support reporting solutions in conjunction with SAP Analytics Cloud (SAC), Power BI, or Analysis for Office.