About This Role
Designing, implementing, and governing enterprise data platforms across on-premises and cloud environments is the core of this role. The Data Architect will define enterprise data architecture, drive data modernization initiatives, establish governance standards, and enable scalable analytics platforms that support business intelligence, AI/ML, and digital transformation objectives.
Responsibilities
- Define and maintain enterprise data architecture standards, principles, and target-state roadmaps
- Design scalable and secure data platforms supporting reporting, analytics, business intelligence, and AI use cases
- Develop conceptual, logical, and physical data models for enterprise data domains
- Establish architecture governance processes aligned with enterprise architecture standards
- Lead the design and delivery of Enterprise Data Warehouse (EDW), Data Lake, and Lakehouse initiatives
- Define data integration, modeling, and analytics strategies across structured and unstructured datasets
- Design dimensional models, semantic layers, and reporting architectures for analytics and executive dashboards
- Ensure a single source of truth through effective data quality and master data management practices
- Design and implement hybrid data architectures across cloud and on-premises environments
- Develop migration strategies from legacy data platforms to modern cloud-based architectures
- Architect solutions for data ingestion, integration, and real-time analytics requirements
- Define and implement enterprise data governance frameworks and stewardship processes
- Establish standards for data classification, metadata management, retention, lineage, and quality
- Design controls for protecting sensitive and regulated data
- Collaborate with business and technology stakeholders to translate requirements into architecture solutions
- Provide architectural leadership to data engineering, analytics, and project delivery teams
- Lead architecture reviews, design workshops, and governance forums
- Mentor data engineers, analysts, and junior architects
Requirements
- Bachelor's degree minimum
- 10+ years of experience in Data Architecture, Data Warehousing, or Enterprise Data Management
- Proven experience designing and leading enterprise-scale Data Warehouse, Data Lake, and Lakehouse programs
- Strong expertise in enterprise data architecture, data modeling, and architecture governance
- Hands-on 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 analytics services
