SAP S/4HANA Finance- Enterprise Architect

Remote • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
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Job Details

Skills

  • S/4HANA Finance
  • CFIC
  • GCP
  • Enterprise Architect

Summary

We have a contract opportunity for SAP S/4HANA Finance Enterprise Architect (Remote) with one of our clients. Detailed job descriptions is provided below.

Title: SAP S/4HANA Finance Enterprise Architect
Duration: 12+ Months( Remote)
Location: Remote
 
Role Summary

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.

Key Responsibilities

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:

Required Qualifications

Experience

  • 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)

Preferred Qualifications

  • 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

 

 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91017688
  • Position Id: 311-16084-
  • Posted 5 hours ago

Company Info

About SolGenie Technologies, INC

SolGenie is a digital solutions partner for innovative consulting, technology, and outsourcing services with 12 years of experience in delivering customized IT solutions and software services to enterprises to solve business problems while enhancing their competitive edge.

We are professionals in tackling business problems that large enterprises seek to solve with unique digital solutions. Our capabilities span Mobility, Advanced Analytics and Artificial Intelligence, Cloud services, Internet of Things and Intelligent Automation, E-business solutions, ERP implementations, global roll-outs, upgrades, testing, application management and infrastructure support.

We offer our services in a variety of consumption models (fixed fee per project, pay as you go etc) and commercial models (fee for service, managed service, fixed bid etc) that fit the balance sheet and/or P&L priorities of our customers.

We believe strongly that our customers can obtain the best value if we are engaged in a fixed bid model. We prefer not to be engaged on a resources-based model but we do recognize that true partners have to be flexible, and should keep the customer’s priorities first.

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