Data Architect

1. Enterprise Data Architecture Design

• Define the end-to-end enterprise data architecture.
• Develop conceptual, logical, and physical data models.
• Establish data standards, principles, and architecture guidelines.
• Ensure alignment between business processes and data structures.

2. Azure & Microsoft Fabric Solution Design

• Design scalable data platforms using:
  • Microsoft Fabric
  • Lakehouse Architecture
  • Data Engineering Pipelines
  • Data Warehousing Solutions
  • Data Factory/Data Pipelines
  • OneLake
• Recommend optimal cloud data architecture patterns.

3. Data Integration & Data Flow Management

• Define integration patterns across enterprise applications.
• Design ETL/ELT frameworks for data ingestion and transformation.
• Enable seamless movement of data between operational and analytical systems.
• Establish real-time and batch processing strategies.

4. Master Data Management (MDM) & Governance

• Implement enterprise-wide Master Data Management practices.
• Define data ownership, stewardship, and governance processes.
• Establish metadata management and lineage frameworks.
• Utilize governance tools such as Microsoft Purview or similar platforms.

5. Data Transformation & Mapping

• Design source-to-target mappings.
• Define transformation rules and business logic.
• Ensure consistency across reporting, analytics, and operational systems.
• Support data migration and modernization programs.

6. Data Quality & Compliance

• Define data quality standards and validation mechanisms.
• Implement monitoring and auditing processes.
• Ensure compliance with organizational and regulatory requirements.
• Promote data consistency, accuracy, and reliability.

7. Stakeholder Engagement

• Collaborate with business leaders and technology teams.
• Translate business requirements into technical architecture solutions.
• Present architecture designs and recommendations to senior stakeholders.
• Provide technical leadership during project delivery.