Key Responsibilities

1. Enterprise Data Architecture

• Design and maintain enterprise-wide data architecture frameworks, principles, and standards.
• Develop conceptual, logical, and physical data models across business domains.
• Define data architecture roadmaps aligned with organizational objectives.
• Establish best practices for data lifecycle management and data integration.
• Evaluate emerging technologies and recommend architecture improvements.

2. Data Platform & Solution Design

• Architect modern data platforms including:
  • Data Warehouse
  • Data Lake
  • Lakehouse Architecture
  • Data Mesh
  • Data Fabric
• Design scalable, secure, and high-performance data solutions.
• Lead cloud data architecture initiatives on AWS, Azure, or Google Cloud.
• Develop data storage, processing, and access strategies.

3. Data Integration & Engineering

• Design enterprise data integration frameworks.
• Define standards for ETL/ELT pipelines and data ingestion processes.
• Ensure reliable movement of data across internal and external systems.
• Collaborate with Data Engineers to optimize performance and scalability.
• Support real-time and batch data processing architectures.

4. Data Governance & Quality

• Establish enterprise data governance policies and standards.
• Define metadata management and data catalog strategies.
• Implement data quality, lineage, and stewardship frameworks.
• Ensure compliance with security, privacy, and regulatory requirements.
• Promote enterprise-wide adoption of data governance practices.

5. Analytics & AI Enablement

• Design architectures supporting:
  • Business Intelligence (BI)
  • Advanced Analytics
  • Machine Learning
  • Artificial Intelligence
• Enable self-service analytics environments.
• Support development of trusted datasets for analytical use cases.
• Optimize data accessibility for business and technical stakeholders.

6. Stakeholder Management

• Partner with business leaders to understand data requirements.
• Translate business objectives into architecture solutions.
• Provide technical leadership and guidance to data teams.
• Facilitate architecture reviews and governance committees.
• Communicate complex technical concepts to non-technical audiences.

7. Security & Compliance

• Design secure data architectures following industry standards.
• Implement data classification and protection mechanisms.
• Ensure compliance with:
  • GDPR
  • PDPA
  • HIPAA (where applicable)
  • Industry regulatory requirements
• Conduct architecture risk assessments and mitigation planning.

Required Qualifications

Education

• Bachelor‘s degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
• Master‘s degree is preferred.

Experience

• 8+ years of experience in Data Management, Data Engineering, or Enterprise Architecture.
• 5+ years of experience in data architecture leadership roles.
• Proven experience designing enterprise-scale data platforms.
• Experience implementing cloud-native data architectures.
• Experience with large-scale data transformation initiatives.

Technical Skills

Data Architecture

• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Master Data Management (MDM)
• Metadata Management
• Data Governance
• Data Quality Frameworks