Note: The job is a remote job and is open to candidates in USA. Dice is offering a contract opportunity for an experienced SAP S/4HANA Finance Enterprise Architect in a remote capacity. The role involves leading the architecture and transformation of a large-scale Finance Data Platform, integrating SAP S/4HANA with Google Cloud Platform and various reporting ecosystems while ensuring scalability and performance.

Responsibilities

• Define and own enterprise architecture blueprint for Finance Data Platform: SAP S/4HANA (CFIN, FI/CO, GL, COPA), Google Cloud Platform-based data Lakehouse (BigQuery-centric architecture)
• Develop architecture decision records (ADRs) and ensure audit-ready documentation
• Establish target-state architecture for driver-based planning and reporting ecosystem
• Lead architecture for: S/4HANA Finance data extraction (actuals, master data), Central Finance (CFIN) integration patterns, SAP to Google Cloud Platform replication (SLT, CDS, APIs, batch patterns)
• Ensure semantic alignment of financial data models (GL, cost center, profit center hierarchies)
• Architect BigQuery as centralized finance data hub
• Define: Data ingestion patterns (batch + near real-time), Transformation pipelines (Dataflow / Dataproc / SQL ELT), Metric layer strategies (pipeline vs feature store vs semantic layer)
• Lead design of: Curated finance datasets (gold layer), Reusable metrics layer (e.g., Operating Income, EBITDA)
• Architect integrations across: Anaplan (driver-based planning), SAP Analytics Cloud (SAC), Tableau / Power BI / Sigma
• Define: Data contracts, Aggregation strategies, Write-back patterns (if applicable)
• Define architecture for: Pixel-perfect financial statements
• Ensure implementation of: Azure AD-based role-based access control (RBAC), Cost center / entity-based security models
• Enable roadmap for: Integrate: Model-ready datasets on Google Cloud Platform
• Define enterprise data governance strategy: Ensure compliance with:

Skills

• 12+ years in enterprise architecture roles
• 5+ years' deep experience in SAP S/4HANA Finance (FI/CO, CFIN)
• 5+ years' hands-on experience in Google Cloud Platform data engineering and architecture
• Experience in Fortune 100 / large healthcare, retail, or PBM environments
• SAP S/4HANA FI/CO, COPA, GL
• Data extraction, CDS views, SLT
• Google Cloud Platform BigQuery, Dataflow, Pub/Sub, Dataproc
• Cloud Composer, Cloud Functions
• Data Architecture Data Lakehouse patterns
• ELT/ETL frameworks
• Semantic modeling
• Strong experience with ADRs (Architecture Decision Records)
• Data governance & lineage
• Security architecture (RBAC, IAM, Azure AD integration)
• Experience with ecosystems (Retail + Healthcare + PBM)
• Prior experience in finance transformation programs
• Exposure to AI/ML on Google Cloud Platform (Vertex AI, feature stores)
• Knowledge of driver-based planning architecture
• Anaplan (preferred)
• SAP Analytics Cloud (SAC)
• Tableau / Power BI / Sigma

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