Enterprise Data Architect - Cloud & Governance Lead

Datamatics Technologies LLC; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

Datamatics Technologies LLC in Dubai seeks an experienced Data Architect to lead enterprise data architecture, governance, and management across cloud and on-premises environments.

You will drive Data Governance, Data Quality, metadata management, data lineage, and architecture governance while designing scalable data platforms to support analytics, BI, AI/ML, and digital transformation. Collaborative with business and technology teams to establish trusted, secure data environments.

Qualifications

• Experience designing and implementing Enterprise Data Architecture and Enterprise Data Management frameworks.
• Strong experience leading Data Governance initiatives, governance operating models, and stewardship programs.
• Hands-on experience establishing Data Quality frameworks, controls, and monitoring processes.
• Strong knowledge of Data Classification, Metadata Management, and Data Lineage practices.
• Experience driving Architecture Governance and ensuring alignment with enterprise architecture standards.
• Proven experience leading large-scale Enterprise Data Warehouse, Data Lake, and Lakehouse programs.
• Experience designing cloud and hybrid data platforms using Microsoft Azure data services.
• Experience with Microsoft Fabric, Azure Data Lake, Synapse Analytics, Azure SQL, and related Azure data technologies.
• Strong knowledge of data integration, ETL/ELT frameworks, and Change Data Capture (CDC).
• Experience working with SQL Server, Oracle, or PostgreSQL environments.
• Strong understanding of Enterprise Reporting, Analytics, and Business Intelligence architectures.
• Proven experience engaging business stakeholders, governance teams, data owners, and senior technology leadership.
• Experience leading enterprise-scale data transformation and modernization initiatives.

Responsibilities

• Define and maintain enterprise data architecture standards, principles, policies, and target-state roadmaps.
• Establish and govern enterprise data architecture and data management frameworks.
• Define and implement Data Governance operating models, stewardship processes, and governance controls.
• Develop conceptual, logical, and physical data models for enterprise-wide data domains.
• Lead enterprise Data Warehouse, Data Lake, and Lakehouse architecture initiatives.
• Establish Data Quality frameworks, standards, monitoring processes, and continuous improvement practices.
• Define enterprise Data Classification standards and ensure implementation across business domains.
• Implement Metadata Management strategies to improve data discoverability, consistency, and governance.
• Establish Data Lineage frameworks to ensure end-to-end visibility and traceability of enterprise data assets.
• Drive Architecture Governance processes and ensure compliance with enterprise architecture standards.
• Define policies for data retention, lifecycle management, and regulatory compliance.
• Collaborate with business stakeholders to translate business requirements into sustainable data architecture solutions.
• Partner with governance teams, data stewards, and business data owners to improve data management maturity.
• Design and implement scalable cloud and hybrid data platforms supporting reporting, analytics, and AI initiatives.
• Lead architecture reviews, governance forums, and design workshops.
• Provide architectural leadership and mentoring to data engineering, analytics, and delivery teams.

Skills

Enterprise Data Architecture

Data Governance

Data Warehousing

Data Quality

Metadata Management

Data Lineage

Architecture Governance

Stakeholder Collaboration

Leadership

Enterprise Data Management

Education

Bachelor's degree in Computer Science

Tools

Microsoft Azure

Azure Data Lake

Synapse Analytics

Azure SQL

Microsoft Fabric

SQL Server

Oracle

PostgreSQL

Job description

Datamatics Technologies LLC in Dubai seeks an experienced Data Architect to lead enterprise data architecture, governance, and management across cloud and on-premises environments.

You will drive Data Governance, Data Quality, metadata management, data lineage, and architecture governance while designing scalable data platforms to support analytics, BI, AI/ML, and digital transformation. Collaborative with business and technology teams to establish trusted, secure data environments.