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We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.
Job Responsibility:
Develop and maintain enterprise data models that support analytics, reporting, and operational needs
Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements
Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance
Collaborate with stakeholders to gather data requirements and ensure business objectives are met
Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments
Establish governance processes, including metadata management, data lineage, and quality assurance protocols
Define and manage canonical data models across key business domains to ensure consistency
Document and enforce data modeling standards to drive adoption across engineering teams
Assess and enhance existing data models, identifying areas for improvement in performance and alignment
Provide strategic guidance on data management tools and technologies to support organizational goals
Requirements:
At least 7 years of experience in data architecture, modeling, or database design
Expertise in Dimensional (Star/Snowflake), relational, and Data Vault modeling methodologies
Proficiency in relational and non-relational databases, including Delta Lake architecture
Strong knowledge of Microsoft Fabric, Delta Lake, and Medallion Architecture
Proven experience in designing data models for enterprise analytics and operational use cases
Familiarity with cloud-based data architectures, particularly Azure tools such as Data Lake, Synapse, and Databricks
Excellent analytical and problem-solving skills, with the ability to translate business needs into effective data solutions
Outstanding communication and stakeholder management skills to foster collaboration between technical and business teams
What we offer:
medical, vision, dental, and life and disability insurance