Data Architect

Raqmiyat; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

A leading IT and digital transformation firm in Dubai is seeking a skilled Data Architect to design and optimize enterprise data architecture. This role involves ensuring accurate and compliant data flows across various manufacturing processes. The ideal candidate will have strong experience with Oracle Fusion and governance practices, along with a solid understanding of data analytics and cloud solutions. You will work on frameworks essential for quality and compliance in data management.

Benefits

Competitive salary

Health insurance

Professional development opportunities

Qualifications

• Strong experience with Oracle Fusion, especially in manufacturing contexts.
• Proven track record in data architecture for enterprise solutions.
• Experience with data governance and compliance standards.

Responsibilities

• Design and optimize data architecture spanning Oracle Fusion ERP.
• Ensure data flows comply with business processes in a manufacturing context.
• Govern data quality and establish ownership across data sets.

Skills

Oracle Fusion

Data Governance

ERP Systems

Data Analytics

Power BI

Cloud Data Solutions

Education

Bachelor's degree in IT or related field

Tools

OracleFusion ERP

Snowflake

Power BI

Job description

Dubai, United Arab Emirates | Posted on 12/30/2025

Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.

Job Description

The Data Architect is responsible for designing,governing, and optimizing enterprise data architecture spanning OracleFusion ERP and non-Oracle analytics platforms such as Snowflake,Power BI, and cloud data lakes.

The role ensures accurate, traceable, and compliant data flows across procure-to-pay,plan-to-produce, quality, inventory, and order-to-cash processes in a Food& Beverages manufacturing context.

Key Responsibilities

1. Oracle Fusion & Manufacturing Data Architecture

• Architectend-to-end data flows across:
  
• OracleFusion Financials, SCM, Manufacturing, Inventory, Quality, andProcurement
  
• Understand F&B manufacturing data models, including:
  
• Batches,lots, recipes, BOMs, yields, scrap, and rework
  
• Shelflife, expiry, and traceability
  
• DesignERP data extensions while minimizing customization
  
• Governquarterly Oracle Fusion releases and data impact
  
• Designanalytics architecture using:
  
• Snowflake(or equivalent cloud data warehouse)
  
• PowerBI for enterprise reporting and self-service analytics
  
• Define canonical data models for:
  
• Quality& compliance reporting
  
• Costing,margin, and inventory analytics
  
• Ensuremetric consistency between OTBI, OAC (if used), and Power BI
  
• OracleBICC, OTBI extracts, REST APIs
  
• OICor non-Oracle iPaaS tools
  
• Batchand near-real-time pipelines
  
• IntegrateFusion with:
  
• MES,LIMS, WMS
  
• Supplier,logistics, and distributor systems
  
• Optimizelatency for operational and executive reporting
  

4. Manufacturing, Quality & Traceability Data

• Ingredienttraceability (farm-to-fork)
  
• Recallreadiness and regulatory audits
  
• Enableanalytics for:
  
• Qualitydeviations and root cause analysis
  
• Wastereduction and yield optimization
  
• Shelf-lifeand expiry risk monitoring
  

5. Data Governance, MDM & Quality

• Define master data strategy across:
  
• Establish data ownership and stewardship
  
• Definedata quality rules and reconciliation controls
  
• Supportmetadata, lineage, and auditability
  

6. Security, Privacy & Compliance

• Financials,supplier contracts, formulations, PII
  
• Designrole-based access across ERP and analytics platforms
  
• Ensurecompliance with:
  
• Foodsafety regulations
  
• Internalaudit and SOX (if applicable)
  
• Dataprivacy regulations
  

7. Architecture Governance & Stakeholder Management

• Participatein Architecture Review Boards
  
• Providedesign assurance for ERP, manufacturing, and analytics initiatives
  
• Guidesystem integrators and analytics vendors
  
• Collaboratewith Manufacturing, Quality, Finance, and Supply Chain teams
  
• Manufacturing& Quality Data Models
  
• CanonicalERP-to-Analytics Data Definitions
  
• DataGovernance & MDM Framework
  
• ArchitectureReview & Compliance Reports
  

Requirements

Required Skills & Experience

Oracle & ERP

• Strongexperience with: