Data Architect

Overview

• Design and implement enterprise-wide data architecture aligned with business needs and analytics goals.
• Collaborate with stakeholders to ensure data models meet operational and analytical requirements.
• Leverage modern data lakehouse architectures for scalable and efficient data solutions.
• Develop data governance frameworks, including metadata management and data quality assurance.
• Work with cutting-edge technologies such as Microsoft Fabric and Delta Lake.
• Contribute to the design of canonical data models ensuring organizational consistency.
• Optimize existing data models for performance and maintainability.
• Shape data architecture strategies that drive actionable business insights.

Key Responsibilities & Duties

• Design and develop enterprise data models supporting business intelligence and operational reporting.
• Implement best practices for data modeling in a lakehouse environment.
• Architect data structures ensuring performance, scalability, and governance.
• Collaborate with Data Engineers to optimize physical data models.
• Guide ETL/ELT strategies for data integrity and performance.
• Establish and document data modeling standards for engineering teams.
• Review and enhance existing data models for better alignment with business needs.
• Advise on data modeling tools and metadata management solutions.

Job Requirements

• Bachelor of Science (BS) in a relevant field.
• Minimum of 7 years in data architecture, data modeling, or database design.
• Expertise in data modeling methodologies (Dimensional, relational, Data Vault).
• Proficiency in Microsoft Fabric, Delta Lake, and Medallion Architecture.
• Strong SQL skills for data modeling and query optimization.
• Experience with cloud-based data architectures, preferably Azure.
• Preferred familiarity with Microsoft Purview and Graph Data Modeling.
• Excellent communication skills for stakeholder engagement.