SAP S/4HANA Finance- Enterprise Architect

SolGenie Technologies, INC
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

SAP Cloud Application Programming Interfaces (APIs) Artificial Intelligence Airflow Data Analysis BigQuery Cyber Security Data Architecture Information Engineering Data Governance Data Hub Data Infrastructure
+20 more
Extract Transform Load (ETL) Data Mining Data Flow Control Identity and Access Management Role-Based Access Control Power BI Azure Active Directory Cloudera Anaplan SAP (Applications) SAP FI/CO SQL Databases Tableau (Software) Google Cloud Data Ingestion Advanced Reports Pixel Perfect SAP S/4HANA Data Management Data Lakehouse

Job description

We are seeking a highly experienced Enterprise Architect with deep expertise in SAP S/4HANA and Google Cloud Platform (Google Cloud Platform) to lead the architecture and transformation of a large-scale Finance Data Platform., This role will drive end-to-end architecture strategy, integrating SAP S/4HANA Finance, Google Cloud Platform BigQuery-based data platforms, and downstream planning/reporting ecosystems (Anaplan, SAC, Power BI, Tableau) while ensuring enterprise-grade scalability, governance, and performance., Enterprise Architecture & Strategy

  • 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

SAP S/4HANA Integration & Finance Architecture

  • 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)

Google Cloud Platform Data Platform Architecture

  • 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)

Planning & Analytics Ecosystem

  • 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)

Custom UI & Advanced Reporting

  • Define architecture for:
  • Pixel-perfect financial statements
  • Ensure implementation of:
  • Azure AD-based role-based access control (RBAC)
  • Cost center / entity-based security models

AI / Advanced Capabilities

  • Enable roadmap for:
  • Integrate:
  • Model-ready datasets on Google Cloud Platform

Data Governance & Quality

  • Define enterprise data governance strategy:
  • Ensure compliance with

Requirements

  • 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

Technical Expertise

  • 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

Analytics & Planning Tools

  • Anaplan (preferred)
  • SAP Analytics Cloud (SAC)
  • Tableau / Power BI / Sigma

Architecture & Governance

  • 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

Key Deliverables

  • Enterprise Architecture Blueprint (Current * Target State)
  • Google Cloud Platform Finance Data Platform Architecture (BigQuery Hub)
  • SAP * Google Cloud Platform Integration Framework
  • Metrics Layer Strategy & Design
  • Security & Governance Model
  • Executive-level presentations & artifacts

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