Data Architect

Overview

• Lead the design and implementation of enterprise-wide data architecture aligned with business goals.
• Develop scalable and efficient data models within a Delta Lakehouse architecture.
• Collaborate with stakeholders to align data solutions with organizational objectives.
• Drive the adoption of best practices in data modeling and governance frameworks.
• Enhance enterprise data management practices for improved data integrity and performance.
• Contribute to the continuous improvement of data analytics platforms and methodologies.
• Work in a hybrid environment with opportunities for professional growth.

Key Responsibilities & Duties

• Design and develop enterprise data models supporting analytics and operational reporting.
• Define and implement data modeling best practices in a lakehouse environment.
• Collaborate with stakeholders to understand data needs and align solutions accordingly.
• Translate logical data models into optimized physical models in Microsoft Fabric.
• Develop data governance frameworks, including metadata management and data quality assurance.
• Guide ETL/ELT strategies to ensure data integrity and optimal performance.
• Establish and document data modeling standards for engineering teams.
• Optimize existing data models for performance and maintainability.

Job Requirements

• Bachelor of Science degree with 7+ years of experience in data architecture.
• Expertise in data modeling methodologies, including Dimensional and Data Vault.
• Proficiency in relational and non-relational databases, SQL, and Delta Lake architecture.
• Strong familiarity with Microsoft Fabric and Medallion Architecture.
• Experience with ETL/ELT processes and Azure-based data architectures.
• Preferred experience with Data Vault implementation and data governance tools.
• Knowledge of BI tools like Power BI and Tableau for dashboard creation.
• Excellent communication and analytical skills for stakeholder interaction.