Data Architect Enterprise Data Strategy & Architecture

We are seeking an experienced Data Architect to lead the development of an Enterprise Data Strategy and establish a scalable secure and governed data architecture capability. The successful candidate will partner with business stakeholders IT leadership security teams architects and data owners to define a future-state data environment that enables digital transformation advanced analytics AI data science and business intelligence initiatives.

This role combines strategic data leadership with hands-on architecture governance and roadmap development.

Enterprise Data Strategy

• Develop and define an enterprise-wide data strategy aligned to business objectives.
  
• Assess current data capabilities maturity and opportunities.
  
• Create a multi-year roadmap for data transformation and modernization.
  
• Identify and prioritize strategic data initiatives that drive business value.
  
• Align data strategy with organizational policies standards privacy and compliance requirements.
  

• Develop current-state and target-state enterprise data architectures.
  
• Create conceptual logical and high-level physical data models.
  
• Define enterprise data architecture principles standards and best practices.
  
• Design architecture patterns for data integration storage governance and consumption.
  
• Assess existing data platforms and recommend future-state technologies.
  
• Identify opportunities to improve data pipelines data flows and information management processes.
  

• Establish enterprise data governance frameworks and operating models.
  
• Define data ownership stewardship and accountability structures.
  
• Develop recommendations for data quality management and controls.
  
• Define metadata management and master data management requirements.
  
• Recommend data classification retention security and access management standards.
  
• Ensure compliance with regulatory privacy and information security requirements.
  

• Facilitate workshops and interviews with business and technology stakeholders.
  
• Collaborate with executive leadership architects data owners and vendor partners.
  
• Present findings recommendations and strategic roadmaps to senior management.
  
• Build alignment across business units on enterprise data priorities and governance standards.
  

Discovery & Assessment

• Current-State Data Landscape Assessment
  
• Enterprise Data Source Inventory
  
• Data Flow and Integration Assessment
  
• Data Maturity Assessment
  
• Gap Analysis and Opportunity Assessment
  

• Enterprise Data Strategy
  
• Data Strategy Roadmap
  
• Prioritized Data Initiatives
  
• Data Maturity Development Plan
  

• Data Governance Framework
  
• Data Ownership Model
  
• Data Stewardship Model
  
• Data Quality Framework Recommendations
  
• Data Security and Classification Framework
  

• Current-State Data Architecture
  
• Target-State Data Architecture
  
• Data Architecture Principles and Standards
  
• Technology and Platform Recommendations
  
• Data Integration Improvement Recommendations
  

• Matric and a Bachelors Degree in Information Systems Computer Science Data Science Engineering or related discipline.
  
• Relevant Architecture certifications advantageous:
  
• TOGAF
  
• DAMA CDMP
  
• Azure Data Certifications
  
• AWS Data & Analytics Certifications
  
• Google Cloud Data Certifications
  

• Minimum 8-10 years experience in Data Architecture Data Management or Enterprise Architecture roles.
  
• Proven experience developing Enterprise Data Strategies.
  
• Strong experience establishing Data Governance frameworks and operating models.
  
• Experience conducting Data Maturity Assessments and roadmap development.
  
• Experience designing enterprise-scale data architectures across multiple platforms.
  
• Experience engaging senior business and executive stakeholders.
  
• Strong understanding of data security privacy compliance and risk management.
  
• Experience supporting AI advanced analytics business intelligence data science and digital transformation initiatives.
  

Strong knowledge of:

• Enterprise Data Architecture
  
• Data Governance & Data Management
  
• Data Modeling (Conceptual Logical Physical)
  
• Master Data Management (MDM)
  
• Metadata Management
  
• Data Quality Management
  
• Data Warehousing & Data Lakes
  
• Data Integration & ETL/ELT Solutions
  
• Cloud Data Platforms (Azure AWS Google Cloud)
  
• Data Security & Privacy Frameworks
  
• Business Intelligence & Analytics Platforms
  
• Data Strategy and Transformation Programs
  

• Strategic Thinking
  
• Executive Communication
  
• Stakeholder Management
  
• Consulting & Advisory Skills
  
• Problem Solving
  
• Influencing & Negotiation
  
• Business Acumen
  
• Facilitation & Workshop Leadership
  
• Change Management
  
• Documentation & Presentation Skills